文件名称:FuzzyClusteringToolbox
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2013-09-21
- 文件大小：
- 1.98mb
- 下载次数：
- 0次
- 提 供 者：
- che***
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计-Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。-Four kinds of clustering algorithms source code and sample code, the ultimate goal of this program is to form a set of standards for clustering, scalable tools. Including the contents of a. Clustering algorithm: Kmeans and Kmedoid algorithms, FCMclust, GKclust, GGclust algorithm 2. Assessment classified prototypes: programs can be plotted in two-dimensional image, the results of clustering 3. Verify: Program to provide an algorithm to each authentication mechanism, each clustering algorithm will calculate Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several metrics.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle\FCMcall.m
......................\.....\..................\..........\GGcall.m
......................\.....\..................\..........\GKcall.m
......................\.....\..................\..........\Kmeanscall.m
......................\.....\..................\..........\Kmedoidcall.m
......................\.....\..................\..........\MotorCycle.txt
......................\.....\..................\synthetic\FCMcall.m
......................\.....\..................\.........\GGcall.m
......................\.....\..................\.........\GKcall.m
......................\.....\..................\.........\Kmeanscall.m
......................\.....\..................\.........\Kmedoidcall.m
......................\.....\..................\.........\nDexample.m
......................\.....\......valexample\data2.txt
......................\.....\................\evalexample.m
......................\.....\.omparing\FCMcall.m
......................\.....\.........\GGcall.m
......................\.....\.........\GKcall.m
......................\.....\.........\Kmeanscall.m
......................\.....\.........\Kmedoidcall.m
......................\.....\.........\modvalidity.m
......................\.....\.........\nDexample.m
......................\.....\normexample\data3.txt
......................\.....\...........\normexample.m
......................\.....\optnumber\modvalidity.m
......................\.....\.........\MotorCycle.txt
......................\.....\.........\optnumber.m
......................\.....\PCAexample\nDexample.m
......................\.....\..........\PCAexample.m
......................\.....\projection\IRIS.MAT
......................\.....\..........\visual_call.m
......................\.....\..........\WINEDAT.TXT
......................\.....\..........\wisconsin.wk1
......................\FUZZCLUST\clusteval.m
......................\.........\clust_denormalize.m
......................\.........\clust_normalize.m
......................\.........\FCMclust.m
......................\.........\FuzSam.m
......................\.........\GGclust.m
......................\.........\GKclust.m
......................\.........\Kmeans.m
......................\.........\Kmedoid.m
......................\.........\nDexample.m
......................\.........\PCA.m
......................\.........\PROJEVAL.M
......................\.........\SAMMON.M
......................\.........\SAMSTR.M
......................\.........\validity.m
......................\FuzzyClusteringToolbox.pdf
......................\Demos\clusteringexamples\motorcycle
......................\.....\..................\synthetic
......................\.....\clusteringexamples
......................\.....\clustevalexample
......................\.....\comparing
......................\.....\normexample
......................\.....\optnumber
......................\.....\PCAexample
......................\.....\projection
......................\Demos
......................\FUZZCLUST
FuzzyClusteringToolbox