An improved generalized fuzzy c-means clustering algorithm based on GA

INTELLIGENT SCIENCE AND INTELLIGENT DATA ENGINEERING, ISCIDE 2011（2012）

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摘要

A new generalized clustering algorithm with the name of genetic algorithm based rough-fuzzy possibilistic c-means (GARFPCM) is proposed. It derives from an unsupervised learning algorithm called RFPCM, which is unstable for the reason of random initialization. GA is introduced into RFPCM to generate an improved version, which is GARFPCM mentioned above. GARFPCM can obtain better clustering quality. Through performance evaluation on image segmentation, GARFPCM is shown to perform excellently.

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关键词

unsupervised learning algorithm,new generalized clustering algorithm,improved generalized fuzzy c-means,genetic algorithm,rough-fuzzy possibilistic c-means,performance evaluation,improved version,random initialization,image segmentation,clustering quality,clustering

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