Fuzzy clustering with a fuzzy covariance matrix

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1978Publisher:IEEEJournal:1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes

Authors: Donald Gustafson; William Kessel;

doi: 10.1109/cdc.1978.268028

Fuzzy clustering with a fuzzy covariance matrix

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Abstract

A class of fuzzy ISODATA clustering algorithms has been developed previously which includes fuzzy means. This class of algorithms is generalized to include fuzzy covariances. The resulting algorithm closely resembles maximum likelihood estimation of mixture densities. It is argued that use of fuzzy covariances is a natural approach to fuzzy clustering. Experimental results are presented which indicate that more accurate clustering may be obtained by using fuzzy covariances.

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Scientific Systems (United States)
United States

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