kMeansCluster k均值聚类算法Matlab代码实现，聚类里的经典算法。可以参考应用。

function y=kMeansCluster(m,k,isRand) %kMeansCluster - Simple k means clustering algorithm if nargin<3, isRand=0; end if nargin<2, k=1; end [maxRow, maxCol]=size(m) if maxRow<=k, y=[m, 1:maxRow] else % initial value of centroid if isRand, p

k-means聚类算法 java版 // 随机点的个数 int max_point_number = 100; // x坐标的最大值 int max_x = 10; // y坐标的最大值 int max_y = 10; // 聚类的个数 int cluster_number = 4; // 迭代的次数 int iter_count = 10; // 构造函数，三个参数分别为点的个数，x的最大值，y的最大值 BuildRandomNumber brn = new BuildRandomNumbe

isodata算法的matlab实现% kMeansCluster - Simple k means clustering algorithm % Author: Kardi Teknomo, Ph.D. % % Purpose: classify the objects in data matrix based on the attributes % Criteria: minimize Euclidean distance between centroids and object poin

matlab开发-kmeanscluster。使用k_方法群集一组数据