搜索资源列表
Kmean
- 自行implement的k-mean(含fuzzy c mean)，可以直接於vc++針對大量數據進行分群的動作-Implement on its own the k-mean (with fuzzy c mean), can be directly in vc++ For clustering large amount of data movement
kcluster
- 一种基于软划分方法的聚类方法——模糊k均值法聚类分析。-A division of methods based on soft clustering method- fuzzy k-means cluster analysis.
kmeans
- 基于C++的模糊k均值算法，采用的集成软件开发环境为vc-It is the codes of Fuzzy k-means,
fcm
- 模糊C均值方法，将模糊的方法用到K均值方法里面-Fuzzy C Means method, the fuzzy approach method which used the mean K
FuzzyKmeanclustering
- code for fuzzy k-mean clustering-code for fuzzy k-mean clustering..
fuzme_matlab
- fuzzy k mean algorithm by matlab
Clustering_Toolbox
- Robert Gordon University的一个研究人员写的k-means聚类算法工具箱，内容完整可运行。-Includes k-means, hierarchical (single-, complete- and mean-linkage), EM for Gaussian Mixture Models, fuzzy c-means, and a demo.
FNN
- 非常好用的模糊神经网络程序，中间的K-mean方法比较简单，自己添加以下即可！-The program very easy to use fuzzy neural network, k-mean middle part is relatively simple, what you can add your own!
skkgshq
- 自行implement的k-mean(含fuzzy c mean),可以直接於vc++針對大量數據 M行分群的動作()
8660260
- 自行implement的k-mean(含fuzzy c mean),可以直接於vc++針對大量數據 M行分群的動作()