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  2010, Vol. 23 Issue (1): 120-126    DOI:
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Collaborative FCPM Fuzzy Clustering Algorithm
QI Hong-Yu1,WU Xiao-Jun1,WANG Shi-Tong1,YANG Jing-Yu2
1.School of Information Engineering,Jiangnan University,Wuxi 214122
2.School of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing 210094

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Abstract  Fuzzy clustering with proportional membership (FCPM) algorithm can solve the clustering problem from different viewpoints. With the collaborative relations among different feature subsets, the collaborative fuzzy clustering is combined with other clustering algorithms to make its clustering result better than that of the one with the original algorithm. An improved fuzzy clustering algorithm is proposed based on the combination of FCPM and collaborative fuzzy clustering. The experimental results on the Wine and Iris datasets show the effectiveness of the proposed method.
Key wordsFuzzy Clustering with Proportional Membership (FCPM)      Fuzzy C-Mean (FCM)      Collaborative Fuzzy Clustering     
Received: 11 April 2008     
ZTFLH: TP391.4  
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QI Hong-Yu
WU Xiao-Jun
WANG Shi-Tong
YANG Jing-Yu
Cite this article:   
QI Hong-Yu,WU Xiao-Jun,WANG Shi-Tong等. Collaborative FCPM Fuzzy Clustering Algorithm[J]. , 2010, 23(1): 120-126.
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http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2010/V23/I1/120
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