中心點漂移是一種非監督聚類算法（與k-means算法相似，但應用范圍更廣些),可用于圖像分割，基于Matlab實現的源碼。
MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab implementation source code.
基本的k-means聚類算法c++實現，對于理解算法的過程非常有幫助。 Basic implementation of k-means algorithm with c++, it is very helpful to understand the procedure of k-means algorithm.
高效的k-means算法實現，使用了k-d樹與局部搜索等提高k-means算法的執行效率，同時包含示例代碼，用c++代碼實現。 Effecient implementation of k-means algorith, k-d tree and local search strategy are implementd to improve the effeciency, samples are included to show how to use it. All codes are implemented in C++.
k-meansy算法源代碼。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 using the K-means algorithm. Output is
directed to the screen.
