A Comparison Study of Cluster Validity Indices Using a Nonhierarchical Clustering Algorithm

Abstract

Cluster analysis is widely used in the initial stages of data analysis and data reduction. The K-means algorithm, a nonhierarchical clustering algorithm, has regained popularity among researchers in data mining and knowledge discovery, partly because of its low time complexity. The algorithm requires the number of clusters as an input parameter. When the… (More)
DOI: 10.1109/CIMCA.2005.1631265

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