文章基本信息

标题：A Weighted Sample's Fuzzy Clustering Algorithm With Generalized Entropy
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作者：Kai Li ; Lijuan Cui
期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2014
卷号：3
期号：4
页码：712
出版社：International Journal of Computer and Information Technology
摘要：Combined with weight of samples and kernel function, fuzzy clustering method with generalized entropy is studied. Objective function for fuzzy clustering with generalized entropy based on sample weighting is obtained. Following that, fuzzy clustering algorithm with generalized entropy based on sample weighting is presented. In addition, by introducing kernel into the presented objective function, kernel fuzzy clustering algorithm with generalized entropy based on sample weighting is obtained. At the same time, some methods for determining weight of samples are analyzed. Aiming at some selected representative datasets, experiments are conducted to validate the effectiveness of presented algorithms above.
关键词：fuzzy clustering; generalized entropy; sample ; weighting; kernel