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Abstract. We present a parallel implementation of the popular k-means clustering algorithm for massively multithreaded computer systems, as well as a ...
Apr 6, 2011 · We present a parallel implementation of the popular k-means clustering algorithm for massively multithreaded computer systems, ...
Apr 3, 2011 · We present a parallel implementation of the popular k-means clustering algorithm for massively multithreaded computer systems, as well as a ...
We present a parallel implementation of the popular k-means clustering algorithm for massively multithreaded computer systems, as well as a parallelized ...
Inproceedings,. A highly parallel implementation of k-means for multithreaded architecture. P. Mackey, J. Feo, ...
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In this experiment, a popular clustering algorithm k-means with serial versions and parallel versions are used. The later is experimented with static and ...
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We want to implement a parallel version of a k-means heuristic method on a cluster of machines, to significantly speed up the algorithm, without sacrificing ...
Missing: multithreaded architecture.
Multicore Implementation of K-Means Clustering Algorithm - IEEE Xplore
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This study analyses the feasibility of K-mean data-mining technique, which is applied to a hybrid cluster with multi-core programming.
Parallel Implementation of PageRank Based K-Means Clustering on a Multithreaded Architecture ... greatly improved the performance over the standard K-Means ...
K-Means algorithm uses the centroids to cluster the nodes present in the graphs. PageRank can be used to find these centroids, that is, to find the nodes that ...