搜索资源列表
K-means
- 采用K- means 算法和FCM 算法实现对47 个城市竞争力的聚类分析-Using K-means algorithm and FCM algorithm to achieve the competitiveness of 47 cities in the cluster analysis
MatlabFuzzyClusteringAnalysis
- 采用K- means 算法和FCM 算法实现对47 个城市竞争力的聚类分析-Using K-means algorithm and FCM algorithm to achieve the competitiveness of 47 cities in the cluster analysis
kmeans
- 快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation
a
- 模糊聚类分析分析的MATLAB实现，并且以图形的方式呈现了模糊聚类分析的结果。-Analysis of fuzzy cluster analysis to achieve the MATLAB and graphical way to show the results of fuzzy cluster analysis.
apcluster
- 一种聚类的新方法，不用开始就设定聚类点的总个数，只需要确定参数p的值，p越大算出的聚类个数就越大，相反一样。-[idx,netsim,dpsim,expref]=APCLUSTER(s,p) clusters data, using a set of real-valued pairwise data point similarities as input. Clusters are each represented by
2-3-1
- 聚类分析 算法的Matlab实现，可以对多参数的数据实现简单方面的分类，从而更好地了解数据结构。-Matlab cluster analysis algorithm to achieve, you can multi-parameter data for the realization of a simple classification, in order to better understand the data structure
textclusterr
- 文档分类，用K均值，加入了K的选择算法，不用人为设定聚类个数-Document classification, using K-means, joined the K of the selection algorithm, not the number of artificial clustering
kjz
- 这个文件主要是实现了K-均值聚类算法，需要输入k的数目，可以直接连接运行-This file is mainly implemented K-means clustering algorithm, need to enter the number of k can be directly connected to run
C__julei
- 一种非常实用的C均值聚类算法，可以用于数据挖掘、图像分割等领域-A very useful C-means clustering algorithm can be used for data mining, image segmentation and other areas of
Fuzzy-Cluster-Analysis
- 利用VB来实现的模糊聚类分析，形象而且易懂。-The use of VB to achieve the fuzzy cluster analysis, image and easy to understand.
fcma
- 模糊聚类算法的实现，用c语言实现，有测试内容，附有测试文件-The realization of fuzzy clustering algorithm, using c language implementation, there are contents of the tests with a test file
globle_graph_mining
- 图挖掘，图聚类 m文件主要包含4个功能：图的生成，图相似度分析，节点符号化，边权挖掘 ，详细说明见注释-graph mining, graph clustering
kmeans
- 程序很好的实现了k均值的聚类，我已经使使用过，效果非常好，很好用-Program achieved a very good k mean clustering, I have so used, the effect is very good, very good use
code
- 模糊聚类分析程序 模糊聚类分析程序 模糊聚类分析程序 -gg hdfh hthg hhh hhh hhh hhhh hhh hdh shhr trht tjtj yj uyuk tjr rteh w w w tytu y yi ht yj yj ku kyy e w q
mohujulei
- 模糊聚类程序，只需把数据输入运行就可以得出你想要的结果，很简单，很方便-Fuzzy clustering procedure, simply enter data into operation can be drawn on the results you want is very simple, very convenient
PRmatlabprogram
- matlab聚类，应用平均值法求新的聚类中心-matlab clustering, the application of the cluster center average method novelty
k_means
- k-均值聚类法用于各种图像的聚类、分割问题，希望可以对您有利-k-means clustering method for a variety of image clustering, segmentation
Mo3
- 聚类测试，模糊数学，北京大学《研究生招生中的模糊聚类分析方法》-test of
zfk_example
- 聚类分析里的k均值（kmeans）算法的matlab实现，是老师即将出的书里，我给写的例子，大家看看吧。 -Where k-means cluster analysis (kmeans) algorithm matlab implementation, a teacher is leaving the book, I give examples of writing, we take a look at bar.
cjz
- 用户提供样本数据后，对样本数据做c均值frm聚类分析。-c均值聚类