An algorithm on the data of uncompact and irregular distribution
求解非规则非致密分布数据的一种算法

Considering the difference of the use of clustering algorithms caused by the diffference of data distribution,on the base of the analysis of K-means algorithm,fuzzy C-means algorithm and genetic algorithm,a new algorithm was brought forward based on the genetic algorithm and the improved neighbor function criterion.In view of the intrinsic connection of the special and the advantage of genetic algorithm's whole-search strategy,to a certian extent,this new algorithm solve the problem about the uncompact and irregular data distribution.