A Non-parametric Maximum Entropy Clustering

Abstract

Clustering is a fundamental tool for exploratory data analysis. Information theoretic clustering is based on the optimization of information theoretic quantities such as entropy and mutual information. Recently, since these quantities can be estimated in non-parametric manner, non-parametric information theoretic clustering gains much attention. Assuming… (More)
DOI: 10.1007/978-3-319-11179-7_15

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