搜索资源列表
kmeans-image-segmentation
- K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
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,
COMPACT
- k-means clustering algorithm, C means Fuzzy clustering algorithm-k-means clustering algorithm, C means Fuzzy clustering algorithm...
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
New-folder
- Brain Tumor Segmentation Calculation in Brain MR Images using K-Mean Clustering and Fuzzy C-Mean Algorithm
9552010E202
- This paper presents a new cluster validity index for nding a suitable number of fuzzy clusters with crisp and fuzzy data. The new index, called the ECAS-index, contains exponential compactness and separation measures. These measures indicate ho
FCMdemo
- 用模糊K均值（FCM）的方法对图像进行分类-fuzzy c mean clustering (FCM),segmentation
FCM
- 自己实现的，模糊C均值聚类的代码，在K-mean上添加了隶属度矩阵。注释详细，方便理解算法步骤-my implementation, Fuzzy C-Means clustering code in the K-mean adding a membership matrix. Notes detailed, easy to understand algorithm steps
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.
fuzme_matlab
- Fuzzy k mean code -Fuzzy k mean code
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()
KWNASO
- 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()