Nonparametric clustering of discrete probability distributions with generalized Shannon’s entropy and heatmap

Abstract

This article proposes a non-parametric clustering heatmap for non-ordinal samples based on their underlying discrete probability distributions. The proposed heatmap is a preliminary tool to extract immediate information from non-ordinal data without making any parametric assumption.