A Generalization of Proximity Functions for K-Means

Abstract

K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for k-means. However, the common characteristics of proximity functions remain unknown. To this end, in this paper, we show that all proximity functions that fit k-means clustering can be generalized as k-means… (More)
DOI: 10.1109/ICDM.2007.59

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