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Advances in Research of Fuzzy C-Means Clustering Algorithm

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6 Author(s)
Chen Yanyun ; Coll. of Comput. Sci. & Technol., Nantong Univ., Nantong, China ; Qiu Jianlin ; Gu Xiang ; Chen Jianping
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Fuzzy Clustering Analysis is one of the most popular research currently. It attracts people's attention for it's validity in resolving fuzzy problem. With the development of computer science, Fuzzy Clustering Analysis based on objective function became hot topics and Fuzzy C-means Clustering Algorithm is one of the most perfect and most widely used theories although there are some drawbacks for the classical algorithm itself. This paper summarizes the progress of FCM algorithm, and some algorithm improvements were analyzed and compared.

Published in:

Network Computing and Information Security (NCIS), 2011 International Conference on  (Volume:2 )

Date of Conference:

14-15 May 2011