Clustering tendency assessment, i.e., determining if a dataset has any inherent clusters, and if so, how many clusters, k to seek is a crucial ...
In this paper, we introduce a new relative of VAT, named Locally. Scaled VAT (LS-VAT), that is robust to inter-cluster density variations. The LS-VAT algorithm ...
Clustering tendency assessment, i.e., determining if a dataset has any inherent clusters, and if so, how many clusters, k to seek is a crucial pre-clustering ...
It is a pre-clustering process to determine whether clusters exist in a dataset and, if so, to find an appropriate unknown number of clusters (see [7, 8] for ...
LS-VAT and LS-iVAT algorithms specify the number of clusters found in a dataset and show if there are existing clusters within clusters by creating a densely ...
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Mar 7, 2024 · Clustering tendency assessment is a pivotal pre-clustering task that determines the presence of clusters in a dataset and, if detected, the ...
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In our study, we modified the VAT and iVAT algorithms for visual assessment of the clustering tendency with a wide variety of distance measures.
For datasets having inter-cluster density variations, Kumar et al. [17] proposed locally scaled VAT (LSVAT) and locally scaled iVAT (LS-iVAT) algorithms ...
Feb 14, 2024 · Before the actual clustering process, most clustering algorithms require a necessary step known as clustering tendency assessment. This pre- ...