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基于最优分类系数及分类熵准则的模糊C均值聚类算法
引用本文:郑小松,王绍霖.基于最优分类系数及分类熵准则的模糊C均值聚类算法[J].电子学报,1994,22(7):84-88.
作者姓名:郑小松  王绍霖
作者单位:同济大学电气工程系
摘    要:本文分别以模糊分类系数和分类熵为聚类有效性的测度函数,采用模糊C均值分类法,求最优的测度函数值所代表的全局极值的那种分类,确定为最佳分类方,对一张由卫星拍摄的地面MIG-29型飞机照片进行了成功的分类试验。

关 键 词:模糊聚类  模糊熵  模式识别

A Fuzzy c-Means Algorithm with the Criterion of Optimal Partition Coefficient and Entropy
Zheng Xiaosong,Wang Shaolin.A Fuzzy c-Means Algorithm with the Criterion of Optimal Partition Coefficient and Entropy[J].Acta Electronica Sinica,1994,22(7):84-88.
Authors:Zheng Xiaosong  Wang Shaolin
Abstract:This correspondence states the criterion of cluster validity problem which injects validity measurement functionals into the final judgement i such as fuzzy partition coefficient and entropy.It involves the optimizing of validity functionals through the implementation of FCM algorithm to evaluate optimal clustering.In this way,a unique global minimum can be guaranteed for validity functional over fuzzy c-partition space.A clustering experiment for recognition of an ambiguous photograph of MIG- 29 fighter taken by a spy satellite is successfully developed by computer simulation.
Keywords:Fuzzy clustering  Fuzzy entropy  Target recognition  
本文献已被 CNKI 维普 等数据库收录!
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