A Novel Fuzzy C-Means Clustering Algorithm

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article 01 Jan 2006Publisher:Springer Berlin Heidelberg

Authors: Cui-Xia Li; Jian Yu 0001;

doi: 10.1007/11795131_74

A Novel Fuzzy C-Means Clustering Algorithm

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Abstract

This paper proposes a novel fuzzy c-means clustering algorithm which treats attributes differently. Moreover, by analyzing the Hessian Matrix of the new algorithm's objective function, we get a rule of parameters' selection. The experiments demonstrate the validity of the new algorithm and the guideline for the parameters' selection

Related Organizations

Zhengzhou University
China (People's Republic of)
Beijing Jiaotong University
China (People's Republic of)

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