文件名称:FCM
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核聚类算法：聚类是将一组给定的未知类标号的样本分成内在的多个类别，使得同一类中
的样本具有较高的相似度，而不同类中的样本差别大。侧重于软聚类（模糊C-均值——FCM），但其描述手段同样适合于硬聚
类（HCM）等同类问题。-Clustering algorithm: cluster is a group of unknown samples given class label into internal multiple categories, so that the same class
The sample has a high degree of similarity, rather than difference in kind in large samples. Focused on the soft clustering (Fuzzy C- Means FCM), but its descr iption means equally suitable for hard poly
Class (HCM) and other similar issues.
的样本具有较高的相似度，而不同类中的样本差别大。侧重于软聚类（模糊C-均值——FCM），但其描述手段同样适合于硬聚
类（HCM）等同类问题。-Clustering algorithm: cluster is a group of unknown samples given class label into internal multiple categories, so that the same class
The sample has a high degree of similarity, rather than difference in kind in large samples. Focused on the soft clustering (Fuzzy C- Means FCM), but its descr iption means equally suitable for hard poly
Class (HCM) and other similar issues.
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下载文件列表
FCM\FCMClust.m
...\KFCMClust.m
...\核聚类算法.pdf
FCM