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k_means
- 分类聚合算法k-means的实现,用matlab-polymerization classification algorithm k-means the realization of using Matlab
image_mva_0
- 一个利用Matlab实现PCA（主成分分析），k_means图像分割很好的例子。-using Matlab a PCA (Principal Component Analysis), k_means image segmentation good example.
my_kmeans
- 模式识别k_means聚类算法。-kmeans clutering algorithm for Pattern Recognition
iris
- 适合用来做K_Means 和K_NN的数据，一共150组，分成3个簇。
K_MEANS
- This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers u
K_Means
- k-means是一种经典的聚类算法，这是用java实现k-means的源码，其中包括了测试数据文件
K_MEANS
- K-MEANS算法程序(MATLAB环境)
K_means
- 在MATLAB上实现k_means算法，包含k_means算法的思想，和实现方法和程序-In the MATLAB algorithm to achieve k_maens
k_means-algorithm
- k-means算法是模式识别十大算法之一 matlab仿真的k-means聚类算法-k-means algorithm for pattern recognition algorithm is one of the top ten k-means clustering algorithm
c-K_means
- K_means算法的c实现，以运行通过，很好！-The K_means algorithm implemented by c,already executed on vc++6.0.
K_means
- K_means算法的matlab语言算法实现-Language algorithm K_means algorithm matlab
K_means
- 这是K_means算法研究综述，对算法研究的科研人员有很*价值！-This Research K_means algorithm, the algorithm of researchers!
k_means
- 采用matlab实现K_means聚类算法，可用于图像分类等-Using matlab realize K_means clustering algorithm, can be used for image classification
K_means
- K均值算法，有测试程序和测试数据。function [out1,out2] = k_means(X,w)-K-means algorithm, test procedures and test data.
k_means
- 模式识别与人工智能中k均值算法的matlab源码-Compute k means for the data using the k_means algorithm
k_means
- 用matlab实现的简单的k_means聚类算法，简单有效，已测试通过-K_means with a simple clustering algorithm matlab realized, simple and effective, have been tested
K_Means-algorithm
- very useful matlab code for K_Means Algorithm it can be use after change the given input data or use the original one that i provided with the code you can start by run K_Means_Clustering.m
K_means
- 采用K_means聚类，得到五个核，然后五个用data套进去，可以得到5个矩阵。这个五个矩阵就是根据聚类获得的。成功，且有效。首先运行K_means.m，然后再运行yanshi.m。可以得到效果图。data数据也一并给出-K_means use clustering to obtain nuclear five, then five with data sets in, you can get 5 matrix. This matrix is based on fiv
K_Means
- K-Means是聚类算法中的一种，其中K表示类别数，Means表示均值。顾名思义K-Means是一种通过均值对数据点进行聚类的算法。K-Means算法通过预先设定的K值及每个类别的初始质心对相似的数据点进行划分。并通过划分后的均值迭代优化获得最优的聚类结果。(K-Means is one of the clustering algorithms, in which K represents the number of classes, and Means means the mean. As t
K_means
- function varargout = K_means(varargin) % K_MEANS M-file for K_means.fig % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ...