基本的k-means聚類算法c++實(shí)現(xiàn),對(duì)于理解算法的過(guò)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(shí)現(xiàn),使用了k-d樹(shù)與局部搜索等提高k-means算法的執(zhí)行效率,同時(shí)包含示例代碼,用c++代碼實(shí)現(xiàn)。 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.