APPLICATION OF PROBABILISTIC SETS TO FUZZY CLUSTERING.

Witold Pedrycz*, Kaoru Hirota

*此作品的通讯作者

科研成果: 书/报告/会议事项章节章节同行评审

2 引用 (Scopus)

摘要

Characterization of fuzzy clustering algorithms is dealt with using the concept of probabilistic sets and their subjective entropy. Clustering techniques with objective performance-index criterion-functions are discussed. Several indices characterized by subjective entropy, including indices expressing the degree of interaction between clusters, are proposed. The utility of these indices is illustrated by a simulation method using Iris data and also handwritten-character data.

源语言英语
主期刊名Anal of Fuzzy Inf
出版商CRC Press Inc
169-181
页数13
ISBN(印刷版)0849362989
出版状态已出版 - 1987

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引用此

Pedrycz, W., & Hirota, K. (1987). APPLICATION OF PROBABILISTIC SETS TO FUZZY CLUSTERING.Anal of Fuzzy Inf (页码 169-181). CRC Press Inc.