Computer Science ›› 2015, Vol. 42 ›› Issue (1): 290-292,302.doi: 10.11896/j.issn.1002-137X.2015.01.064

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Anti-consistency Possibilistic C-means Clustering Algorithm

WEN Chuan-jun, WANG Qing-miao and ZHAN Yong-zhao   

  • Online:2018-11-14 Published:2018-11-14

Abstract: PCM classification judgment will fail while consistency question occurs.A new algorithm was proposed in this paper which is named as anti-consistency possibilistic C-means clustering(ACPCM).Anti-consistency function is composed of the reciprocal sum of distances between every two clustering centers,and ACPCM objective function is the sum of PCM objective function and anti-consistency function.PSO algorithm is used to estimate clustering centers and gradient method is utilized to solve fuzzy memberships.The effectiveness and anti-consistency of ACPCM were proved through theoretical analysis and simulation experiments.

Key words: Possibilistic C-means clustering,Consistency,Clustering center,Particle swarm optimization(PSO)

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