K-means算法源码 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 ce
k-means clustering,聚类,用于机器学习和模式识别。 下面是英文介绍：In statistics and machine learning, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the neares
Cluster was originally written by Michael Eisen while at Stanford University. We have modified the k-means clustering algorithm in Cluster, and extended the algorithm for Self-Organizing Maps to include two-dimensional rectangular grids.
This is the manual for Cluster 3.0. Cluster was originally written by Michael Eisen while at Stanford University. We have modified the k-means clustering algorithm in Cluster, and extended the algorithm for Self-Organizing Maps to include two-dimens
The k-means method is a widely used clustering technique that seeks to minimize the average squared distance between points in the same cluster. Although it offers no accuracy guarantees, its simplicity and speed are very appealing in practice. By a
