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2020 – today
- 2024
[c81]Omar A. Ibrahim, Jianxi Wang, Marek Z. Reformat, Petr Musilek, James C. Bezdek:
Generalized Deep Embedded Fuzzy C-Means for Clustering High-Dimensional Data. FUZZ 2024: 1-8- 2022
- [j147]Yousef Kowsar, Masud Moshtaghi, Eduardo Velloso, James C. Bezdek, Lars Kulik, Christopher Leckie:
Shape-Sphere: A metric space for analysing time series by their shape. Inf. Sci. 582: 198-214 (2022) - [j146]Wenlong Wu
, James M. Keller, Jeffrey Dale, James C. Bezdek:
StreamSoNG: A Soft Streaming Classification Approach. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 700-709 (2022) - 2021
- [j145]Punit Rathore, Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams. IEEE Trans. Cybern. 51(12): 5979-5992 (2021) - [j144]Omar A. Ibrahim, James M. Keller, James C. Bezdek:
Evaluating Evolving Structure in Streaming Data With Modified Dunn's Indices. IEEE Trans. Emerg. Top. Comput. Intell. 5(2): 262-273 (2021) - [j143]James C. Bezdek, James M. Keller:
Streaming Data Analysis: Clustering or Classification? IEEE Trans. Syst. Man Cybern. Syst. 51(1): 91-102 (2021) - [p1]Punit Rathore, James C. Bezdek, Marimuthu Palaniswami:
Fast Cluster Tendency Assessment for Big, High-Dimensional Data. Fuzzy Approaches for Soft Computing and Approximate Reasoning 2021: 135-149 - 2020
- [j142]Bernadette Bouchon-Meunier, Piero P. Bonissone, Jim Bezdek:
Obituary for Enrique H. Ruspini [In Memoriam]. IEEE Comput. Intell. Mag. 15(1): 17-23 (2020) - [j141]Lingjuan Lyu, James C. Bezdek, Jiong Jin, Yang Yang:
FORESEEN: Towards Differentially Private Deep Inference for Intelligent Internet of Things. IEEE J. Sel. Areas Commun. 38(10): 2418-2429 (2020) - [j140]Zahra Ghafoori, Sarah M. Erfani, James C. Bezdek, Shanika Karunasekera, Christopher Leckie:
LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection. IEEE Trans. Knowl. Data Eng. 32(4): 815-820 (2020) - [c80]Omar A. Ibrahim, James Keller, James C. Bezdek, Mihail Popescu:
Experiments with Maximin Sampling. FUZZ-IEEE 2020: 1-7 - [c79]Dheeraj Kumar, James C. Bezdek:
Clustering tendency assessment for datasets having inter-cluster density variations. SPCOM 2020: 1-5 - [i7]Punit Rathore, James C. Bezdek, Paolo Santi, Carlo Ratti:
ConiVAT: Cluster Tendency Assessment and Clustering with Partial Background Knowledge. CoRR abs/2008.09570 (2020) - [i6]Wenlong Wu, James M. Keller, Jeffrey Dale, James C. Bezdek:
StreamSoNG: A Soft Streaming Classification Approach. CoRR abs/2010.00635 (2020)
2010 – 2019
- 2019
- [j139]Enrique H. Ruspini, James C. Bezdek, James M. Keller:
Fuzzy Clustering: A Historical Perspective. IEEE Comput. Intell. Mag. 14(1): 45-55 (2019) - [j138]Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, James Bailey:
Online cluster validity indices for performance monitoring of streaming data clustering. Int. J. Intell. Syst. 34(4): 541-563 (2019) - [j137]Tien Thanh Nguyen, Manh Truong Dang, Alan Wee-Chung Liew, James C. Bezdek:
A weighted multiple classifier framework based on random projection. Inf. Sci. 490: 36-58 (2019) - [j136]Punit Rathore, Zahra Ghafoori, James C. Bezdek, Marimuthu Palaniswami, Christopher Leckie:
Approximating Dunn's Cluster Validity Indices for Partitions of Big Data. IEEE Trans. Cybern. 49(5): 1629-1641 (2019) - [j135]Lingjuan Lyu, James C. Bezdek, Xuanli He, Jiong Jin:
Fog-Embedded Deep Learning for the Internet of Things. IEEE Trans. Ind. Informatics 15(7): 4206-4215 (2019) - [j134]Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C. Bezdek:
A Scalable Framework for Trajectory Prediction. IEEE Trans. Intell. Transp. Syst. 20(10): 3860-3874 (2019) - [j133]Punit Rathore, Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami:
A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data. IEEE Trans. Knowl. Data Eng. 31(4): 641-654 (2019) - [c78]Jia Shun Low, Zahra Ghafoori, James C. Bezdek, Christopher Leckie:
Seeding on Samples for Accelerating K-Means Clustering. BDIOT 2019: 41-45 - [c77]Thomas A. Runkler, James C. Bezdek:
Optimizing the C Index Using a Canonical Genetic Algorithm. EvoApplications 2019: 287-298 - [c76]Zahra Ghafoori, James C. Bezdek, Christopher Leckie, Shanika Karunasekera:
Unsupervised and Active Learning Using Maximin-Based Anomaly Detection. ECML/PKDD (1) 2019: 90-106 - [c75]Shreyasi Datta, James C. Bezdek, Marimuthu Palaniswami:
Experiments with Dissimilarity Measures for Clustering Waveform Data from Wearable Sensors. SSCI 2019: 588-595 - 2018
- [j132]Lingjuan Lyu, James C. Bezdek, Yee Wei Law, Xuanli He, Marimuthu Palaniswami:
Privacy-preserving collaborative fuzzy clustering. Data Knowl. Eng. 116: 21-41 (2018) - [j131]Dheeraj Kumar, Zahra Ghafoori, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, Marimuthu Palaniswami:
Dealing with Inliers in Feature Vector Data. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(Supplement-2): 25-45 (2018) - [j130]James C. Bezdek, James M. Keller, Nikhil R. Pal, Chin-Teng Lin, Jonathan M. Garibaldi:
Editorial Celebrating 25 Years of the IEEE Transactions on Fuzzy Systems. IEEE Trans. Fuzzy Syst. 26(1): 1-5 (2018) - [j129]Punit Rathore, James C. Bezdek, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections. IEEE Trans. Fuzzy Syst. 26(3): 1510-1524 (2018) - [j128]Zahra Ghafoori, Sarah M. Erfani, Sutharshan Rajasegarar, James C. Bezdek, Shanika Karunasekera, Christopher Leckie:
Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 29(10): 5057-5070 (2018) - [c74]Omar A. Ibrahim, James M. Keller, James C. Bezdek:
Analysis of Streaming Clustering Using an Incremental Validity Index. FUZZ-IEEE 2018: 1-8 - [c73]Punit Rathore, James C. Bezdek, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Approximate Cluster Heat Maps of Large High-Dimensional Data. ICPR 2018: 195-200 - [c72]Masoomeh Zameni, Mengyi He, Masud Moshtaghi, Zahra Ghafoori, Christopher Leckie, James C. Bezdek, Kotagiri Ramamohanarao:
Urban Sensing for Anomalous Event Detection: - Distinguishing Between Legitimate Traffic Changes and Abnormal Traffic Variability. ECML/PKDD (3) 2018: 553-568 - [c71]Punit Rathore, Zahra Ghafoori, James C. Bezdek, Marimuthu Palaniswami, Christopher Leckie:
Estimating Generalized Dunn's Cluster Validity Indices for Big Data. SMC 2018: 656-661 - [i5]Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, James Bailey:
Online Cluster Validity Indices for Streaming Data. CoRR abs/1801.02937 (2018) - [i4]Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C. Bezdek:
A Scalable Framework for Trajectory Prediction. CoRR abs/1806.03582 (2018) - 2017
- [j127]Masud Moshtaghi, Sarah M. Erfani, Christopher Leckie, James C. Bezdek:
Exponentially Weighted Ellipsoidal Model for Anomaly Detection. Int. J. Intell. Syst. 32(9): 881-899 (2017) - [j126]Yang Lei, James C. Bezdek, Simone Romano, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
Ground truth bias in external cluster validity indices. Pattern Recognit. 65: 58-70 (2017) - [j125]Yang Lei, James C. Bezdek, Jeffrey Chan, Xuan Vinh Nguyen, Simone Romano, James Bailey:
Extending Information-Theoretic Validity Indices for Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 25(4): 1013-1018 (2017) - [j124]Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami:
A visual-numeric approach to clustering and anomaly detection for trajectory data. Vis. Comput. 33(3): 265-281 (2017) - [c70]Fateme Fahiman, James C. Bezdek, Sarah M. Erfani, Marimuthu Palaniswami, Christopher Leckie:
Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms. FUZZ-IEEE 2017: 1-8 - [c69]Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan, Xuyun Zhang:
Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract). ICDE 2017: 51-52 - [i3]Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, James C. Bezdek:
An ensemble-based online learning algorithm for streaming data. CoRR abs/1704.07938 (2017) - 2016
- [j123]Dheeraj Kumar, James C. Bezdek, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, Timothy Craig Havens:
A Hybrid Approach to Clustering in Big Data. IEEE Trans. Cybern. 46(10): 2372-2385 (2016) - [j122]James C. Bezdek, Masud Moshtaghi, Thomas A. Runkler, Christopher Leckie:
The Generalized C Index for Internal Fuzzy Cluster Validity. IEEE Trans. Fuzzy Syst. 24(6): 1500-1512 (2016) - [j121]Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie, Jeffrey Chan, Jayavardhana Gubbi:
Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data. ACM Trans. Knowl. Discov. Data 11(2): 24:1-24:40 (2016) - [j120]Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan, Xuyun Zhang:
Fast Memory Efficient Local Outlier Detection in Data Streams. IEEE Trans. Knowl. Data Eng. 28(12): 3246-3260 (2016) - [j119]Laurence Anthony F. Park, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, James Bailey, Marimuthu Palaniswami:
Visual Assessment of Clustering Tendency for Incomplete Data. IEEE Trans. Knowl. Data Eng. 28(12): 3409-3422 (2016) - [c68]Mahsa Salehi, Xuyun Zhang, James C. Bezdek, Christopher Leckie:
Smart Sampling: A Novel Unsupervised Boosting Approach for Outlier Detection. Australasian Conference on Artificial Intelligence 2016: 469-481 - [c67]Akshay Jain, James M. Keller, James C. Bezdek:
Quantitative and qualitative comparison of periodic sensor data. BHI 2016: 37-40 - [c66]James C. Bezdek, Xiuyi Ye, Mihail Popescu, James Keller, Alina Zare:
Random projection below the JL limit. IJCNN 2016: 2414-2423 - [c65]Masud Moshtaghi, Christopher Leckie, James C. Bezdek:
Online Clustering of Multivariate Time-series. SDM 2016: 360-368 - [i2]Yang Lei, James C. Bezdek, Simone Romano, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
Ground Truth Bias in External Cluster Validity Indices. CoRR abs/1606.05596 (2016) - [i1]Fateme Fahiman, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, Marimuthu Palaniswami:
Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms. CoRR abs/1608.01072 (2016) - 2015
- [j118]Masud Moshtaghi, James C. Bezdek, Christopher Leckie, Shanika Karunasekera, Marimuthu Palaniswami:
Evolving Fuzzy Rules for Anomaly Detection in Data Streams. IEEE Trans. Fuzzy Syst. 23(3): 688-700 (2015) - [c64]James C. Bezdek, Didier Dubois, Henri Prade:
The posterity of Zadeh's 50-year-old paper. FUZZ-IEEE 2015: 1-9 - [c63]Mihail Popescu, James Keller, James C. Bezdek, Alina Zare:
Random projections fuzzy c-means (RPFCM) for big data clustering. FUZZ-IEEE 2015: 1-6 - [c62]Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan:
Local outlier detection for data streams in sensor networks: Revisiting the utility problem invited paper. ISSNIP 2015: 1-6 - 2014
- [j117]Mohammed Khalilia, James C. Bezdek, Mihail Popescu, James M. Keller:
Improvements to the relational fuzzy c-means clustering algorithm. Pattern Recognit. 47(12): 3920-3930 (2014) - [j116]Anna Wilbik, James M. Keller, James C. Bezdek:
Linguistic Prototypes for Data From Eldercare Residents. IEEE Trans. Fuzzy Syst. 22(1): 110-123 (2014) - [j115]Sutharshan Rajasegarar, Timothy C. Havens, Shanika Karunasekera, Christopher Leckie, James C. Bezdek, Milan Jamriska, Ajith Gunatilaka, Alex Skvortsov, Marimuthu Palaniswami:
High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors. IEEE Trans. Geosci. Remote. Sens. 52(7): 3823-3832 (2014) - [j114]Masud Moshtaghi, James C. Bezdek, Timothy C. Havens, Christopher Leckie, Shanika Karunasekera, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Streaming analysis in wireless sensor networks. Wirel. Commun. Mob. Comput. 14(9): 905-921 (2014) - [c61]Thomas A. Runkler, James C. Bezdek:
Multidimensional scaling with multiswarming. IEEE Congress on Evolutionary Computation 2014: 2940-2946 - [c60]Yang Lei, James C. Bezdek, Jeffrey Chan, Xuan Vinh Nguyen, Simone Romano, James Bailey:
Generalized information theoretic cluster validity indices for soft clusterings. CIDM 2014: 24-31 - 2013
- [j113]Mihail Popescu, James C. Bezdek, Timothy C. Havens, James M. Keller:
A Cluster Validity Framework Based on Induced Partition Dissimilarity. IEEE Trans. Cybern. 43(1): 308-320 (2013) - [j112]Timothy C. Havens, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, Marimuthu Palaniswami:
A Soft Modularity Function For Detecting Fuzzy Communities in Social Networks. IEEE Trans. Fuzzy Syst. 21(6): 1170-1175 (2013) - [c59]Dheeraj Kumar, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, James C. Bezdek, Timothy C. Havens:
clusiVAT: A mixed visual/numerical clustering algorithm for big data. IEEE BigData 2013: 112-117 - [c58]James C. Bezdek:
The Parable of Zoltan. On Fuzziness (1) 2013: 39-46 - [c57]Timothy C. Havens, James C. Bezdek, Christopher Leckie, Jeffrey Chan, Wei Liu, James Bailey, Kotagiri Ramamohanarao, Marimuthu Palaniswami:
Clustering and visualization of fuzzy communities in social networks. FUZZ-IEEE 2013 - [c56]Timothy C. Havens, James C. Bezdek, Christopher Leckie, Marimuthu Palaniswami:
Extension of iVAT to asymmetric matrices. FUZZ-IEEE 2013 - [c55]Timothy C. Havens, James C. Bezdek, Marimuthu Palaniswami:
Scalable single linkage hierarchical clustering for big data. ISSNIP 2013: 396-401 - [c54]Thomas A. Runkler, James C. Bezdek:
Topology Preserving Feature Extraction with Multiswarm Optimization. SMC 2013: 2997-3002 - 2012
- [j111]Timothy C. Havens, James C. Bezdek:
A new formulation of the coVAT algorithm for visual assessment of clustering tendency in rectangular data. Int. J. Intell. Syst. 27(6): 590-612 (2012) - [j110]Timothy C. Havens, James C. Bezdek, Christopher Leckie, Lawrence O. Hall, Marimuthu Palaniswami:
Fuzzy c-Means Algorithms for Very Large Data. IEEE Trans. Fuzzy Syst. 20(6): 1130-1146 (2012) - [j109]Timothy C. Havens, James C. Bezdek:
An Efficient Formulation of the Improved Visual Assessment of Cluster Tendency (iVAT) Algorithm. IEEE Trans. Knowl. Data Eng. 24(5): 813-822 (2012) - [c53]Timothy C. Havens, James C. Bezdek, Marimuthu Palaniswami:
Cluster validity for kernel fuzzy clustering. FUZZ-IEEE 2012: 1-8 - [c52]Jonathon K. Parker, Lawrence O. Hall, James C. Bezdek:
Comparison of scalable fuzzy clustering methods. FUZZ-IEEE 2012: 1-9 - [c51]Anna Wilbik, James M. Keller, James C. Bezdek:
Generation of prototypes from sets of linguistic summaries. FUZZ-IEEE 2012: 1-8 - [c50]Sutharshan Rajasegarar, James C. Bezdek, Masud Moshtaghi, Christopher Leckie, Timothy C. Havens, Marimuthu Palaniswami:
Measures for clustering and anomaly detection in sets of higher dimensional ellipsoids. IJCNN 2012: 1-8 - 2011
- [j108]James C. Bezdek, Sutharshan Rajasegarar, Masud Moshtaghi, Christopher Leckie, Marimuthu Palaniswami, Timothy C. Havens:
Anomaly Detection in Environmental Monitoring Networks [Application Notes]. IEEE Comput. Intell. Mag. 6(2): 52-58 (2011) - [j107]Masud Moshtaghi, Timothy C. Havens, James C. Bezdek, Laurence Anthony F. Park, Christopher Leckie, Sutharshan Rajasegarar, James M. Keller, Marimuthu Palaniswami:
Clustering ellipses for anomaly detection. Pattern Recognit. 44(1): 55-69 (2011) - [j106]Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek:
Approximate pairwise clustering for large data sets via sampling plus extension. Pattern Recognit. 44(2): 222-235 (2011) - [j105]James C. Bezdek:
Fuzzy C-means cluster analysis. Scholarpedia 6(7): 2057 (2011) - [c49]Derek T. Anderson, James M. Keller, Ozy Sjahputera, James C. Bezdek, Mihail Popescu:
Comparing soft clusters and partitions. FUZZ-IEEE 2011: 924-931 - [c48]Masud Moshtaghi, Christopher Leckie, Shanika Karunasekera, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks. ICDM 2011: 467-476 - [c47]Mihail Popescu, James M. Keller, James C. Bezdek, Timothy C. Havens:
Correlation cluster validity. SMC 2011: 2531-2536 - 2010
- [j104]Isaac J. Sledge, James C. Bezdek, Timothy C. Havens, James M. Keller:
Relational Generalizations of Cluster Validity Indices. IEEE Trans. Fuzzy Syst. 18(4): 771-786 (2010) - [j103]Derek T. Anderson, James C. Bezdek, Mihail Popescu, James M. Keller:
Comparing Fuzzy, Probabilistic, and Possibilistic Partitions. IEEE Trans. Fuzzy Syst. 18(5): 906-918 (2010) - [j102]Isaac J. Sledge, Timothy C. Havens, James C. Bezdek, James M. Keller:
Relational Duals of Cluster-Validity Functions for the c -Means Family. IEEE Trans. Fuzzy Syst. 18(6): 1160-1170 (2010) - [j101]Sutharshan Rajasegarar, Christopher Leckie, James C. Bezdek, Marimuthu Palaniswami:
Centered hyperspherical and hyperellipsoidal one-class support vector machines for anomaly detection in sensor networks. IEEE Trans. Inf. Forensics Secur. 5(3): 518-533 (2010) - [j100]Liang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao:
Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning. IEEE Trans. Knowl. Data Eng. 22(10): 1401-1414 (2010) - [c46]Shaoyi Zhang, Kotagiri Ramamohanarao, James C. Bezdek:
EP-based robust weighting scheme for fuzzy SVMs. ADC 2010: 123-132 - [c45]James C. Bezdek, Timothy C. Havens, James M. Keller, Christopher Leckie, Laurence Anthony F. Park:
Clustering elliptical anomalies in sensor networks. FUZZ-IEEE 2010: 1-8 - [c44]Isaac J. Sledge, James C. Bezdek, Timothy C. Havens, James M. Keller:
A relational dual of the fuzzy possibilistic c-means algorithm. FUZZ-IEEE 2010: 1-9 - [c43]Timothy C. Havens, James C. Bezdek, James M. Keller:
A New Implementation of the co-VAT Algorithm for Visual Assessment of Clusters in Rectangular Relational Data. ICAISC (1) 2010: 363-371 - [c42]Timothy C. Havens, James C. Bezdek, Marimuthu Palaniswami:
Incremental Kernel Fuzzy c-Means. IJCCI (Selected Papers) 2010: 3-18 - [c41]James C. Bezdek:
(Mostly) Fuzzy Clustering in Very Large Data Sets. IJCCI (ICFC-ICNC) 2010: 5 - [c40]Derek T. Anderson, James C. Bezdek, James M. Keller, Mihail Popescu:
A Comparison of Five Fuzzy Rand Indices. IPMU (1) 2010: 446-454 - [c39]Liang Wang, Uyen T. V. Nguyen, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao:
iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment. PAKDD (1) 2010: 16-27
2000 – 2009
- 2009
- [j99]Timothy C. Havens, James C. Bezdek, James M. Keller, Mihail Popescu, Jacalyn M. Huband:
Is VAT really single linkage in disguise? Ann. Math. Artif. Intell. 55(3-4): 237-251 (2009) - [j98]Timothy C. Havens, James C. Bezdek, James M. Keller, Mihail Popescu:
Clustering in ordered dissimilarity data. Int. J. Intell. Syst. 24(5): 504-528 (2009) - [j97]Isaac J. Sledge, Timothy C. Havens, Jacalyn M. Huband, James C. Bezdek, James M. Keller:
Finding the number of clusters in ordered dissimilarities. Soft Comput. 13(12): 1125-1142 (2009) - [j96]Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek:
Automatically Determining the Number of Clusters in Unlabeled Data Sets. IEEE Trans. Knowl. Data Eng. 21(3): 335-350 (2009) - [j95]Sutharshan Rajasegarar, James C. Bezdek, Christopher Leckie, Marimuthu Palaniswami:
Elliptical anomalies in wireless sensor networks. ACM Trans. Sens. Networks 6(1): 7:1-7:28 (2009) - [c38]Laurence Anthony F. Park, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek:
Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis. Australasian Conference on Artificial Intelligence 2009: 301-311 - [c37]Mihail Popescu, James C. Bezdek, James M. Keller:
eCCV: A new fuzzy cluster validity measure for large relational bioinformatics datasets. FUZZ-IEEE 2009: 1003-1008 - [c36]Laurence Anthony F. Park, James C. Bezdek, Christopher Leckie:
Visualization of clusters in very large rectangular dissimilarity data. ICARA 2009: 251-256 - [c35]Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek:
Approximate Spectral Clustering. PAKDD 2009: 134-146 - 2008
- [j94]James C. Bezdek:
IEEE Fellows-Class of 2008 [Society Briefs]. IEEE Comput. Intell. Mag. 3(2): 5-9 (2008) - [j93]Liang Wang, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao:
Selective sampling for approximate clustering of very large data sets. Int. J. Intell. Syst. 23(3): 313-331 (2008) - [c34]Isaac J. Sledge, Jacalyn M. Huband, James C. Bezdek:
(Automatic) Cluster Count Extraction from Unlabeled Data Sets. FSKD (1) 2008: 3-13 - [c33]Timothy C. Havens, James M. Keller, Mihail Popescu, James C. Bezdek:
Ontological self-organizing maps for cluster visualization and functional summarization of gene products using Gene Ontology similarity measures. FUZZ-IEEE 2008: 104-109 - [c32]Mihail Popescu, James C. Bezdek, James M. Keller, Timothy C. Havens, Jacalyn M. Huband:
A new cluster validity measure for bioinformatics relational datasets. FUZZ-IEEE 2008: 726-731 - [c31]Liang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao:
SpecVAT: Enhanced Visual Cluster Analysis. ICDM 2008: 638-647 - [c30]Timothy C. Havens, James C. Bezdek, James M. Keller, Mihail Popescu:
Dunn's cluster validity index as a contrast measure of VAT images. ICPR 2008: 1-4 - [c29]Jacalyn M. Huband, James C. Bezdek:
VCV2 - Visual Cluster Validity. WCCI 2008: 293-308 - 2007
- [j92]Jim Bezdek:
Call for Fellows Nominations [Society Briefs]. IEEE Comput. Intell. Mag. 2(3): 8-9 (2007) - [j91]James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband:
Visual Assessment of Clustering Tendency for Rectangular Dissimilarity Matrices. IEEE Trans. Fuzzy Syst. 15(5): 890-903 (2007) - [c28]Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami, James C. Bezdek:
Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks. ICC 2007: 3864-3869 - [c27]Liang Wang, Christopher Leckie, Xiaozhe Wang, Kotagiri Ramamohanarao, James C. Bezdek:
Tensor Space Learning for Analyzing Activity Patterns from Video Sequences. ICDM Workshops 2007: 63-68 - 2006
- [j90]Richard J. Hathaway, James C. Bezdek:
Extending fuzzy and probabilistic clustering to very large data sets. Comput. Stat. Data Anal. 51(1): 215-234 (2006) - [j89]James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband, Christopher Leckie, Kotagiri Ramamohanarao:
Approximate clustering in very large relational data. Int. J. Intell. Syst. 21(8): 817-841 (2006) - [j88]James M. Keller, James C. Bezdek, Mihail Popescu, Nikhil R. Pal, Joyce A. Mitchell, Jacalyn M. Huband:
Gene Ontology Similarity Measures Based on Linear Order Statistics. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 14(6): 639-661 (2006) - [j87]Richard J. Hathaway, James C. Bezdek, Jacalyn M. Huband:
Scalable visual assessment of cluster tendency for large data sets. Pattern Recognit. 39(7): 1315-1324 (2006) - [c26]James C. Bezdek, Richard J. Hathaway, Christopher Leckie, Kotagiri Ramamohanarao:
Approximate data mining in very large relational data. ADC 2006: 3-13 - [c25]Richard J. Hathaway, James C. Bezdek, Jacalyn M. Huband:
Maximin Initialization for Cluster Analysis. CIARP 2006: 14-26 - 2005
- [j86]Kuhu Pal, Nikhil R. Pal, James M. Keller, James C. Bezdek:
Relational mountain (density) clustering method and web log analysis. Int. J. Intell. Syst. 20(3): 375-392 (2005) - [j85]Richard J. Hathaway, James C. Bezdek, Jacalyn M. Huband:
Kernelized Non-Euclidean Relational c-Means Algorithms. Neural Parallel Sci. Comput. 13: 305-326 (2005) - [j84]Nikhil R. Pal, James M. Keller, Mihail Popescu, James C. Bezdek, Joyce A. Mitchell, Jacalyn M. Huband:
Gene Ontology-based Knowledge Discovery Through Fuzzy Cluster Analysis. Neural Parallel Sci. Comput. 13: 337-362 (2005) - [j83]Jacalyn M. Huband, James C. Bezdek, Richard J. Hathaway:
bigVAT: Visual assessment of cluster tendency for large data sets. Pattern Recognit. 38(11): 1875-1886 (2005) - [j82]Nikhil R. Pal, Kuhu Pal, James M. Keller, James C. Bezdek:
A Possibilistic Fuzzy c-Means Clustering Algorithm. IEEE Trans. Fuzzy Syst. 13(4): 517-530 (2005) - [c24]James C. Bezdek:
Three Visual Cluster Validity Methods for Object and Relational Data. EUSFLAT Conf. 2005: 11-11 - [c23]James C. Bezdek, Raghu Krishnapuram, N. Pa:
A Message from the Conference Organizers. FUZZ-IEEE 2005 - [c22]Richard J. Hathaway, Jacalyn M. Huband, James C. Bezdek:
Kernelized Non-Euclidean Relational Fuzzy c-Means Algorithm. FUZZ-IEEE 2005: 414-419 - 2004
- [c21]James C. Bezdek, Richard J. Hathaway:
Progressive sampling schemes for approximate clustering in very large data sets. FUZZ-IEEE 2004: 15-21 - [c20]Nikhil R. Pal, Kuhu Pal, James M. Keller, James C. Bezdek:
A new hybrid c-means clustering model. FUZZ-IEEE 2004: 179-184 - 2003
- [j81]Thomas A. Runkler, James C. Bezdek:
Web mining with relational clustering. Int. J. Approx. Reason. 32(2-3): 217-236 (2003) - [j80]James C. Bezdek, Richard J. Hathaway:
Convergence of Alternating Optimization. Neural Parallel Sci. Comput. 11(4): 351-368 (2003) - [j79]Richard J. Hathaway, James C. Bezdek:
Visual cluster validity for prototype generator clustering models. Pattern Recognit. Lett. 24(9-10): 1563-1569 (2003) - [c19]James C. Bezdek, Richard J. Hathaway:
Visual cluster validity (VCV) displays for prototype generator clustering methods. FUZZ-IEEE 2003: 875-880 - 2002
- [j78]Richard J. Hathaway, James C. Bezdek:
Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm. Pattern Recognit. Lett. 23(1-3): 151-160 (2002) - [j77]Richard Buse, Zhi-Qiang Liu, James C. Bezdek:
Word recognition using fuzzy logic. IEEE Trans. Fuzzy Syst. 10(1): 65-76 (2002) - [j76]Nikhil R. Pal, James C. Bezdek:
Complexity reduction for "large image" processing. IEEE Trans. Syst. Man Cybern. Part B 32(5): 598-611 (2002) - [c18]James C. Bezdek, Nikhil R. Pal, Thomas A. Runkler, Kuhu Pal:
Should Tendency Assessment Precede Rule Extraction by Clustering? (No!). Advances in Computational Intelligence and Learning 2002: 17-41 - [c17]James C. Bezdek, Richard J. Hathaway:
Some Notes on Alternating Optimization. AFSS 2002: 288-300 - [c16]James C. Bezdek, Richard J. Hathaway:
Partitioning the Variables for Alternating Optimization of Real-Valued Scalar Fields. PRIS 2002: 1-19 - 2001
- [j75]James C. Bezdek, Ludmila Kuncheva:
Nearest prototype classifier designs: An experimental study. Int. J. Intell. Syst. 16(12): 1445-1473 (2001) - [j74]David DeKruger, Jesse Hodge, James C. Bezdek, James M. Keller, Paul D. Gader:
Detecting mobile land targets in LADAR imagery with fuzzy algorithms. J. Intell. Fuzzy Syst. 10(3-4): 197-213 (2001) - [j73]Richard J. Hathaway, Yingkang Hu, James C. Bezdek:
Local convergence of tri-level alternating optimization. Neural Parallel Sci. Comput. 9(1): 19-28 (2001) - [j72]Ludmila Kuncheva, James C. Bezdek, Robert P. W. Duin:
Decision templates for multiple classifier fusion: an experimental comparison. Pattern Recognit. 34(2): 299-314 (2001) - [j71]Nikhil R. Pal, Tobias C. Cahoon, James C. Bezdek, Kuhu Pal:
A new approach to target recognition for LADAR data. IEEE Trans. Fuzzy Syst. 9(1): 44-52 (2001) - [j70]Zhi-Qiang Liu, Leonard T. Bruton, James C. Bezdek, James M. Keller, Sandy Dance, N. R. Bartley, Cishen Zhang:
Dynamic image sequence analysis using fuzzy measures. IEEE Trans. Syst. Man Cybern. Part B 31(4): 557-572 (2001) - [j69]Richard J. Hathaway, James C. Bezdek:
Fuzzy c-means clustering of incomplete data. IEEE Trans. Syst. Man Cybern. Part B 31(5): 735-744 (2001) - 2000
- [j68]Richard J. Hathaway, James C. Bezdek, Yingkang Hu:
Generalized fuzzy c-means clustering strategies using Lp norm distances. IEEE Trans. Fuzzy Syst. 8(5): 576-582 (2000) - [c15]Thomas A. Runkler, James C. Bezdek:
Automatic keyword extraction with relational clustering and Levenshtein distances. FUZZ-IEEE 2000: 636-640 - [c14]Tobias Christian Cahoon, Melanie A. Sutton, James C. Bezdek:
Breast cancer detection using image processing techniques. FUZZ-IEEE 2000: 973-976 - [c13]James C. Bezdek, Ludmila Kuncheva:
Some Notes on Twenty One (21) Nearest Prototype Classifiers. SSPR/SPR 2000: 1-16
1990 – 1999
- 1999
- [j67]Thomas A. Runkler, James C. Bezdek:
Function approximation with polynomial membership functions and alternating cluster estimation. Fuzzy Sets Syst. 101(2): 207-218 (1999) - [j66]Lawrence O. Hall, Ibrahim Burak Özyurt, James C. Bezdek:
Clustering with a genetically optimized approach. IEEE Trans. Evol. Comput. 3(2): 103-112 (1999) - [j65]James C. Bezdek, James M. Keller, Raghu Krishnapuram, Ludmila I. Kuncheva, Nikhil R. Pal:
Will the real iris data please stand up? IEEE Trans. Fuzzy Syst. 7(3): 368-369 (1999) - [j64]Thomas A. Runkler, James C. Bezdek:
Alternating cluster estimation: a new tool for clustering and function approximation. IEEE Trans. Fuzzy Syst. 7(4): 377-393 (1999) - [j63]Ludmila I. Kuncheva, James C. Bezdek:
Presupervised and post-supervised prototype classifier design. IEEE Trans. Neural Networks 10(5): 1142-1152 (1999) - 1998
- [j62]Amine Bensaid, James C. Bezdek:
Semi-supervised Point Prototype Clustering. Int. J. Pattern Recognit. Artif. Intell. 12(4): 625-643 (1998) - [j61]Ludmila I. Kuncheva, James C. Bezdek:
An Integrated Framework for Generalized Nearest Prototype Classifier Design. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 6(5): 437-458 (1998) - [j60]James C. Bezdek, Ramachandran Chandrasekhar, Yianni Attikouzel:
A geometric approach to edge detection. IEEE Trans. Fuzzy Syst. 6(1): 52-75 (1998) - [j59]Witold Pedrycz, James C. Bezdek, Richard J. Hathaway, G. Wesley Rogers:
Two nonparametric models for fusing heterogeneous fuzzy data. IEEE Trans. Fuzzy Syst. 6(3): 411-425 (1998) - [j58]James C. Bezdek, Thomas Reichherzer, Sok Gek Lim, Yianni Attikiouzel:
Multiple-prototype classifier design. IEEE Trans. Syst. Man Cybern. Part C 28(1): 67-79 (1998) - [j57]Ludmila I. Kuncheva, James C. Bezdek:
Nearest prototype classification: clustering, genetic algorithms, or random search? IEEE Trans. Syst. Man Cybern. Part C 28(1): 160-164 (1998) - [j56]James C. Bezdek, Nikhil R. Pal:
Some new indexes of cluster validity. IEEE Trans. Syst. Man Cybern. Part B 28(3): 301-315 (1998) - 1997
- [j55]Rohan Hemasinha, Nikhil R. Pal, James C. Bezdek:
The determinant of a fuzzy matrix with respect to t and co-t norms. Fuzzy Sets Syst. 87(3): 297-306 (1997) - [j54]James C. Bezdek, Wanqing Li, Yianni Attikiouzel, Michael P. Windham:
A geometric approach to cluster validity for normal mixtures. Soft Comput. 1(4): 166-179 (1997) - [j53]Nikhil R. Pal, James C. Bezdek:
Correction to "On Cluster Validity for the Fuzzy c-Means Model" [Correspondence]. IEEE Trans. Fuzzy Syst. 5(1): 152-153 (1997) - [j52]Nicolaos B. Karayiannis, James C. Bezdek:
An integrated approach to fuzzy learning vector quantization and fuzzy c-means clustering. IEEE Trans. Fuzzy Syst. 5(4): 622-628 (1997) - [c12]Nikhil R. Pal, Kuhu Pal, James C. Bezdek, Thomas A. Runkler:
Some issues in system identification using clustering. ICNN 1997: 2524-2529 - 1996
- [j51]Nikhil R. Pal, James C. Bezdek, Richard J. Hathaway:
Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms. Neural Networks 9(5): 787-796 (1996) - [j50]Amine Bensaid, Lawrence O. Hall, James C. Bezdek, Laurence P. Clarke:
Partially supervised clustering for image segmentation. Pattern Recognit. 29(5): 859-871 (1996) - [j49]Richard J. Hathaway, James C. Bezdek, John W. Davenport:
On relational data versions of c-means algorithms. Pattern Recognit. Lett. 17(6): 607-612 (1996) - [j48]Amine Bensaid, Lawrence O. Hall, James C. Bezdek, Laurence P. Clarke, Martin L. Silbiger, John A. Arrington, F. Reed Murtagh:
Validity-guided (re)clustering with applications to image segmentation. IEEE Trans. Fuzzy Syst. 4(2): 112-123 (1996) - [j47]Richard J. Hathaway, James C. Bezdek, Witold Pedrycz:
A parametric model for fusing heterogeneous fuzzy data. IEEE Trans. Fuzzy Syst. 4(3): 270-281 (1996) - [j46]Nicolaos B. Karayiannis, James C. Bezdek, Nikhil R. Pal, Richard J. Hathaway, Pin-I Pai:
Repairs to GLVQ: a new family of competitive learning schemes. IEEE Trans. Neural Networks 7(5): 1062-1071 (1996) - 1995
- [j45]James C. Bezdek:
Hybrid modeling in pattern recognition and control. Knowl. Based Syst. 8(6): 359-371 (1995) - [j44]James C. Bezdek, Nikhil R. Pal:
Two soft relatives of learning vector quantization. Neural Networks 8(5): 729-743 (1995) - [j43]James C. Bezdek, Richard J. Hathaway, Nikhil R. Pal:
Norm-induced shell-prototypes (NISP) clustering. Neural Parallel Sci. Comput. 3(4): 431-449 (1995) - [j42]James C. Bezdek, Nikhil R. Pal:
An index of topological preservation for feature extraction. Pattern Recognit. 28(3): 381-391 (1995) - [j41]Richard J. Hathaway, James C. Bezdek:
Optimization of clustering criteria by reformulation. IEEE Trans. Fuzzy Syst. 3(2): 241-245 (1995) - [j40]Nikhil R. Pal, James C. Bezdek:
On cluster validity for the fuzzy c-means model. IEEE Trans. Fuzzy Syst. 3(3): 370-379 (1995) - [j39]James C. Bezdek, Nikhil R. Pal:
A note on self-organizing semantic maps. IEEE Trans. Neural Networks 6(5): 1029-1036 (1995) - [c11]James C. Bezdek, Nikhil R. Pal:
Cluster Validation with Generalized Dunn's Indices. ANNES 1995: 190-193 - [c10]James C. Bezdek, Richard J. Hathaway, Witold Pedrycz:
A parametric heterogeneous fuzzy data model. ICNN 1995: 354-358 - [c9]James C. Bezdek, Richard J. Hathaway, Nikhil R. Pal:
Shell-prototype clustering models. ICNN 1995: 1617-1621 - 1994
- [j38]Richard J. Hathaway, James C. Bezdek:
An iterative procedure for minimizing a generalized sum-of-squared-errors clustering criterion. Neural Parallel Sci. Comput. 2(1): 1-16 (1994) - [j37]Richard J. Hathaway, James C. Bezdek:
Nerf c-means: Non-Euclidean relational fuzzy clustering. Pattern Recognit. 27(3): 429-437 (1994) - [j36]Eric Chen-Kuo Tsao, James C. Bezdek, Nikhil R. Pal:
Fuzzy Kohonen clustering networks. Pattern Recognit. 27(5): 757-764 (1994) - [j35]James C. Bezdek:
The thirsty traveler visits Gamont: a rejoinder to "Comments on fuzzy sets-what are they and why?". IEEE Trans. Fuzzy Syst. 2(1): 43-45 (1994) - [j34]Nikhil R. Pal, James C. Bezdek:
Measuring fuzzy uncertainty. IEEE Trans. Fuzzy Syst. 2(2): 107-118 (1994) - [c8]James C. Bezdek, Srinivas Boggavarapu, Lawrence O. Hall, Amine Bensaid:
Genetic Algorithm Guided Clustering. International Conference on Evolutionary Computation 1994: 34-39 - [c7]James C. Bezdek, Richard J. Hathaway:
Optimization of Fuzzy Clustering Criteria Using Genetic Algorithms. International Conference on Evolutionary Computation 1994: 589-594 - 1993
- [j33]Nikhil R. Pal, James C. Bezdek, Rohan Hemasinha:
Uncertainty measures for evidential reasoning II: A new measure of total uncertainty. Int. J. Approx. Reason. 8(1): 1-16 (1993) - [j32]James C. Bezdek:
A Review of Probabilistic, Fuzzy, and Neural Models for Pattern Recognition. J. Intell. Fuzzy Syst. 1(1): 1-25 (1993) - [j31]James C. Bezdek:
Fuzzy models - What are they, and why? [Editorial]. IEEE Trans. Fuzzy Syst. 1(1): 1-6 (1993) - [j30]Richard J. Hathaway, James C. Bezdek:
Switching regression models and fuzzy clustering. IEEE Trans. Fuzzy Syst. 1(3): 195-204 (1993) - [j29]Nikhil R. Pal, James C. Bezdek, Eric Chen-Kuo Tsao:
Generalized clustering networks and Kohonen's self-organizing scheme. IEEE Trans. Neural Networks 4(4): 549-557 (1993) - 1992
- [j28]James C. Bezdek:
Computing with uncertainty. IEEE Commun. Mag. 30(9): 24-36 (1992) - [j27]James C. Bezdek:
On the relationship between neural networks, pattern recognition and intelligence. Int. J. Approx. Reason. 6(2): 85-107 (1992) - [j26]Nikhil R. Pal, James C. Bezdek, Rohan Hemasinha:
Uncertainty measures for evidential reasoning I: A review. Int. J. Approx. Reason. 7(3-4): 165-183 (1992) - [j25]Lawrence O. Hall, Amine Bensaid, Laurence P. Clarke, Robert P. Velthuizen, Martin L. Silbiger, James C. Bezdek:
A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain. IEEE Trans. Neural Networks 3(5): 672-682 (1992) - [j24]James C. Bezdek, Richard J. Hathaway:
Numerical convergence and interpretation of the fuzzy c-shells clustering algorithm. IEEE Trans. Neural Networks 3(5): 787-793 (1992) - 1991
- [j23]Leon Bobrowski, James C. Bezdek:
c-means clustering with the ll and l∞ norms. IEEE Trans. Syst. Man Cybern. 21(3): 545-554 (1991) - 1990
- [j22]Gautam Biswas, Xudong Yu, William J. Hagins, James C. Bezdek, John Strobel, Christopher G. St. C. Kendall, Robert L. Cannon:
Playmaker: a Knowledge-Based Approach to Characterizing hydrocarbon Plays. Int. J. Pattern Recognit. Artif. Intell. 4(3): 315-340 (1990) - [j21]Taehwan Kim, James C. Bezdek, Richard J. Hathaway:
Reply to "Comments on: optimality test for fixed points by Kim et al.". Pattern Recognit. 23(11): 1309-1310 (1990)
1980 – 1989
- 1989
- [j20]Richard J. Hathaway, John W. Davenport, James C. Bezdek:
Relational duals of the c-means clustering algorithms. Pattern Recognit. 22(2): 205-212 (1989) - [j19]Wen-Ran Zhang, Su-Shing Chen, James C. Bezdek:
Pool2: a generic system for cognitive map development and decision analysis. IEEE Trans. Syst. Man Cybern. 19(1): 31-39 (1989) - 1988
- [j18]James C. Bezdek, Er-Woon Chiou:
Core zone scatterplots: A new approach to feature extraction for visual displays. Comput. Vis. Graph. Image Process. 41(2): 186-209 (1988) - [j17]Sridhar Vasudevan, Robert L. Cannon, James C. Bezdek, William L. Cameron:
Heuristics for intermediate level road finding algorithms. Comput. Vis. Graph. Image Process. 44(2): 175-190 (1988) - [j16]Taehwan Kim, James C. Bezdek, Richard J. Hathaway:
Optimality tests for fixed points of the fuzzy c-means algorithm. Pattern Recognit. 21(6): 651-663 (1988) - [c6]James S. J. Lee, James C. Bezdek:
A feature projection based adaptive pattern recognition network. ICNN 1988: 497-505 - [c5]Gautam Biswas, James C. Bezdek:
A Linuistic Transitive Closure Method for Completion and Consistency of Uncertain Knowledge. ISMIS 1988: 1-10 - 1987
- [j15]James C. Bezdek:
A message from the editor. Int. J. Approx. Reason. 1(1): 1-3 (1987) - [j14]Gautam Biswas, James C. Bezdek, Marisol Marques, Viswanath Subramanian:
Knowledge-assisted document retrieval: I. The natural-language interface. J. Am. Soc. Inf. Sci. 38(2): 83-96 (1987) - [j13]Gautam Biswas, James C. Bezdek, Viswanath Subramanian, Marisol Marques:
Knowledge-assisted document retrieval: II. The retrieval process. J. Am. Soc. Inf. Sci. 38(2): 97-110 (1987) - [c4]Miao-Li Pai, Gautam Biswas, Christopher G. St. C. Kendall, James C. Bezdek:
Towards the Design of a Knowledge Based System for Hypercarbon Play Analysis. ISMIS 1987: 248-255 - 1986
- [j12]James C. Bezdek, Gautam Biswas, Li-ya Huang:
Transitive Closures of Fuzzy Thesauri for Information-Retrieval Systems. Int. J. Man Mach. Stud. 25(3): 343-356 (1986) - [j11]Robert L. Cannon, Jitendra V. Dave, James C. Bezdek:
Efficient Implementation of the Fuzzy c-Means Clustering Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 8(2): 248-255 (1986) - [j10]Richard J. Hathaway, James C. Bezdek:
Local convergence of the fuzzy c-Means algorithms. Pattern Recognit. 19(6): 477-480 (1986) - [j9]Mohan M. Trivedi, James C. Bezdek:
Low-Level Segmentation of Aerial Images with Fuzzy Clustering. IEEE Trans. Syst. Man Cybern. 16(4): 589-598 (1986) - [c3]Gautam Biswas, James C. Bezdek, Robert L. Oakman:
A knowledge-based approach to online document retrieval system design. ISMIS 1986: 112-120 - 1985
- [j8]James C. Bezdek, Richard J. Hathaway, Vicki J. Huggins:
Parametric estimation for normal mixtures. Pattern Recognit. Lett. 3(2): 79-84 (1985) - [j7]James C. Bezdek, Ian M. Anderson:
An application of the c-varieties clustering algorithms to polygonal curve fitting. IEEE Trans. Syst. Man Cybern. 15(5): 637-641 (1985) - [c2]Gautam Biswas, Viswanath Subramanian, James C. Bezdek:
A Knowledge-Based System Approach to Document Retrieval. CAIA 1985: 455-460 - 1984
- [j6]Ian M. Anderson, James C. Bezdek:
Curvature and Tangential Deflection of Discrete Arcs: A Theory Based on the Commutator of Scatter Matrix Pairs and Its Application to Vertex Detection in Planar Shape Data. IEEE Trans. Pattern Anal. Mach. Intell. 6(1): 27-40 (1984) - 1983
- [j5]James C. Bezdek:
Guest Editorial and Conference Report. Int. J. Man Mach. Stud. 19(1): 1-3 (1983) - 1981
- [b1]James C. Bezdek:
Pattern Recognition with Fuzzy Objective Function Algorithms. Springer 1981, ISBN 978-1-4757-0452-5, pp. 1-256 - 1980
- [j4]James C. Bezdek, Michael P. Windham, Robert Ehrlich:
Statistical parameters of cluster validity functionals. Int. J. Parallel Program. 9(4): 323-336 (1980) - [j3]James C. Bezdek:
A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 2(1): 1-8 (1980)
1970 – 1979
- 1977
- [j2]James C. Bezdek, Patrick F. Castelaz:
Prototype classification and feature selection with fuzzy sets. IEEE Trans. Syst. Man Cybern. 7(2): 87-92 (1977) - 1976
- [c1]James C. Bezdek:
Feature selection for binary data: medical diagnosis with fuzzy sets. AFIPS National Computer Conference 1976: 1057-1068 - 1975
- [j1]James C. Bezdek, Joseph C. Dunn:
Optimal Fuzzy Partitions: A Heuristic for Estimating the Parameters in a Mixture of Normal Distributions. IEEE Trans. Computers 24(8): 835-838 (1975)
Coauthor Index
Timothy C. Havens
aka: Timothy Craig Havens
aka: Timothy Craig Havens
James Keller 0001
aka: James M. Keller
aka: James M. Keller
[j147] [j140] [j138] [j136] [c78] [c76] [j131] [j128] [c72] [c71] [i5] [j127] [j124] [c70] [c69] [j123] [j122] [j121] [j120] [j119] [c68] [c65] [i1] [j118] [c62] [j115] [j114] [j112] [c59] [c57] [c56] [j110] [c50] [j108] [j107] [j106] [c48] [j101] [j100] [c45] [c39] [j96] [j95] [c38] [c36] [c35] [j93] [c31] [c28] [c27] [j89] [c26]
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