A new clustering evaluation function using Renyi's information potential

Abstract

Clustering is an important unsupervised learning paradigm, but so far the traditional methodologies are mostly based on the minimization of the variance between the data and the cluster means. Here we propose a new evaluation function based on a recently developed information theoretic measure defined from Renyi’s entropy. We show how to apply Renyi’s… (More)
DOI: 10.1109/ICASSP.2000.860153

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