文件名称:fcm1
- 所属分类：
- GPS编程
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 1kb
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- 0次
- 提 供 者：
- downl*****
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function [U,V,num_it]=fcm(U0,X)
％ MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J.
％ Hathaway on June 21, 1994.) The fuzzification constant
％ m = 2, and the stopping criterion for successive partitions is epsilon =??????.
％*******Modified 9/15/04 to have epsilon = 0.00001 and fix univariate bug********
％ Purpose:The function fcm attempts to find a useful clustering of the
％ objects represented by the object data in X using the initial partition in U0. -function [U, V, num_it] = fcm (U0, X) MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J. Hathaway on June 21, 1994.) The fuzzification constant m = 2, and the stopping criterion for successive partitions is epsilon =??????.******* Modified 9/15/04 to have epsilon = 0.00001 and fix univariate bug******** Purpose: The function fcm attempts to find a useful clustering of the objects represented by the object data in X using the initial partition in U0.
％ MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J.
％ Hathaway on June 21, 1994.) The fuzzification constant
％ m = 2, and the stopping criterion for successive partitions is epsilon =??????.
％*******Modified 9/15/04 to have epsilon = 0.00001 and fix univariate bug********
％ Purpose:The function fcm attempts to find a useful clustering of the
％ objects represented by the object data in X using the initial partition in U0. -function [U, V, num_it] = fcm (U0, X) MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J. Hathaway on June 21, 1994.) The fuzzification constant m = 2, and the stopping criterion for successive partitions is epsilon =??????.******* Modified 9/15/04 to have epsilon = 0.00001 and fix univariate bug******** Purpose: The function fcm attempts to find a useful clustering of the objects represented by the object data in X using the initial partition in U0.
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fcm.m