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  5. A Comparative Study on a New Possibilistic Clustering Model and the Crisp Clustering Model

A Comparative Study on a New Possibilistic Clustering Model and the Crisp Clustering Model

来源 :第十三届中国不确定系统年会暨第九届中国智能计算大会 | 被引量 : 0次 | 上传用户：liongliong562
【摘 要】
：
Data clustering analysis is a process classifying a set of data in such a way that data in the same group should be as similar as possible.In crisp clustering, data are grouped into distinct clusters,
【作 者】
：
Xiajie Yi 
【机 构】
：
School of Management, Shanghai University, Shanghai 200444, China
【出 处】
：
第十三届中国不确定系统年会暨第九届中国智能计算大会
【发表日期】
：
2015年12期
【关键词】
：
Fuzzy clustering possibility measure possibilistic clustering normalized possibi 
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　　Data clustering analysis is a process classifying a set of data in such a way that data in the same group should be as similar as possible.In crisp clustering, data are grouped into distinct clusters, where each datum belongs to exactly one cluster.Compared with crisp clustering, however, the biggest advantage of fuzzy clustering is that data can belong to more than one cluster with different membership degrees.To some extent, fuzzy clustering is more of practical significance.Recently, the discussion of algorithms of fuzzy clustering and the practical application have been studied widely.
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