搜索资源列表
curecode
- CURE算法实现 一种分层次的聚类算法 效果较好-CURE algorithm to achieve a hierarchical clustering algorithm better results
DBSCANCode
- DBSCAN源代码,是一种典型的基于密度的聚类算法-DBSCAN source code, is a typical example of the density-based clustering algorithm
dynamic_kmeans
- 该算法实现数据的聚类,效果较好,在MATLAB7.0中运行通过-the algorithm for data clustering, the effect is better in the running through MATLAB7
2655143923
- 此程序是在VC环境下实现k-means均值聚类算法-this procedure is in VC environment to achieve k-means clustering algorithm Mean
Clusterdemos-src
- 一个k-means算法的改进。使用了模糊聚类的方法，并且有演示过程。-a k-means algorithm improvements. The use of fuzzy clustering method, and a demonstration of the process.
k均值聚类算法分析
- k均值聚类算法分析，采用C++编程技术，提供代码可重用机制 -k-means clustering algorithm analysis, the use of C programming, code reuse mechanism
FCM[matlab]
- FCM,模糊C均值聚类的MATLAB实现[matlab]-FCM, Fuzzy C - Means clustering MATLAB [Matlab]
waffles-2006-05-25
- 一个非常有用的开源代码，包括几个常用的算法如聚类，傅立叶变换等等，用户可自由修改代码-a very useful source code, including several commonly used algorithms such as clustering, and so on Fourier transform, users are free to modify the code
kmeansjulei
- 这是用VC++编写的K_means 聚类算法的程序，详细的运行说明在文件夹的文本说明里！-This is the preparation of the VC K_means clustering algorithm procedures, a detailed statement of the operation folder notes to the text!
cmeans
- 实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。-achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n objects assigned K to 000 category, making such objects within the similarity between the lar
k-average
- k平均聚类算法，实现聚类的图形显示-k average clustering algorithm to achieve the cluster graphics
k均值聚类算法源代码
- K均值聚类算法源代码-K-means clustering algorithm source code
clustering_code_v02
- clustering_code ,Clustering Through Ranking On Manifolds Version 0.2 Copyright by Markus Breitenbach and Gregory Z. Grudic -clustering_code. Clustering Through Ranking On Manifolds Versi on 0.2 Copyright by Breitenbach and Greg Markus wat
jvlei
- 用MATLAB编写的leader_follower算法实现聚类的函数．希望能对大家有帮助-MATLAB leader_follower prepared by the clustering algorithm to achieve the function. The hope is to help everyone
lnxcls
- 希望和更多研究空间聚类的朋友认识并探讨相关的理论！！这些算法都是我在研究过程中从别的网站找到的，也许能为朋友们提供一些帮助。希望如此。-hope more research space and clustering friends understand and explore the theory! ! These algorithms are in the process to find alternative sites, may be able to provide some friend
texture3
- 本程序在对图像进行纹理分析（基于共发矩阵的方法）的基础上，获取图像不同区域的纹理特征，针对这些纹理特征，采用聚类（K-mean)的分类算法对图像进行区域划分！-procedures in the right image texture analysis (based on total fat matrix method), on the basis of access to different regions of the image texture features, these featur
textureA2
- 本程序在对图像进行纹理分析（由于共发矩阵的方法效果很不好，本程序采用基于频率域的纹理分析算法）的基础上，获取图像不同区域的纹理特征，针对这些纹理特征，采用聚类（K-mean)的分类算法对图像进行区域划分！-procedures in the right image texture analysis (due to a total of hair matrix, the effect is very bad, the program uses a frequency domain based on
K-Mean1
- 编写K-均值聚类算法程序，对下图所示数据进行聚类分析(选k=2)-prepare K-means clustering algorithm, the data shown in the chart below cluster analysis (EAC k = 2)
K-means.m
- MATLAB编写的一种模式识别里的重要的模糊聚类方法K-means算法的matlab程序.-MATLAB prepare a Pattern Recognition's important Fuzzy clustering methods K-means algorithm Matlab procedures.
isogroup032
- 两个聚类中心之间的最小距离，如小于此数，两个聚类进行-two cluster centers between the minimum distance, as tens of thousands of small, two Clustering