Research of Multi-dimensions and Speediness Clustering Based on Genetic Algorithm
基于遗传算法的多维快速聚类算法研究*

The genetic algorithm is introduced in order to solve the clustering about mass ,multi-dimensions samples.The shortcomings are analysised, which lie in sample and attribute value clustering algorithms based on the genetic algorithm at present, and their algorithm models are summarized. The density and girding algorithms based on the genetic algorithm are put forward to multi-dimensions and speediness clustering. Two algorithms trail show: the betterment clustering algorithms based on genetic algorithm can accomplish preferably the clustering about mass ,multi-dimensions samples.