A Cluster Separation Measure

Overview

Journal IEEE Trans Pattern Anal Mach Intell

Specialties Biomedical Engineering
Medical Informatics

Date 2011 Aug 27

PMID 21868852

Citations 631

Authors

D L Davies

D W Bouldin

Affiliations

Soon will be listed here.

Abstract

A measure is presented which indicates the similarity of clusters which are assumed to have a data density which is a decreasing function of distance from a vector characteristic of the cluster. The measure can be used to infer the appropriateness of data partitions and can therefore be used to compare relative appropriateness of various divisions of the data. The measure does not depend on either the number of clusters analyzed nor the method of partitioning of the data and can be used to guide a cluster seeking algorithm.

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