Unsupervised Learning Algorithm for Fuzzy Clustering
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概要
- 論文の詳細を見る
An adaptive algorithm is presented for fuzzy clustering of data. Partitioning is fuzzified by addition of an entropy term to objective functions. The proposed method produces more convex membership functions than those given by the fuzzy c-means algorithm.
- 社団法人電子情報通信学会の論文
- 1993-03-25
著者
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Urahama Kiichi
Faculty Of Design Kyushu University
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Urahama K
Fac. Visual Communication Design Fukuoka‐shi Jpn
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Urahama Kiichi
Faculty Of Computer Science And Systems Engineering Kyushu Institute Of Technology
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