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 |
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主期刊名 | Anal of Fuzzy Inf |
出版商 | CRC Press Inc |
页 | 169-181 |
页数 | 13 |
ISBN(印刷版) | 0849362989 |
出版状态 | 已出版 - 1987 |
指纹
探究 'APPLICATION OF PROBABILISTIC SETS TO FUZZY CLUSTERING.' 的科研主题。它们共同构成独一无二的指纹。引用此
Pedrycz, W., & Hirota, K. (1987). APPLICATION OF PROBABILISTIC SETS TO FUZZY CLUSTERING. 在 Anal of Fuzzy Inf (页码 169-181). CRC Press Inc.