: 2018-04-17 14:58:51
Description: k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.
K-means\KMeans.m, 1648 , 2018-04-15
K-means\main.m, 1020 , 2018-04-15
K-means, 0 , 2018-04-17