Research of Covering Clustering Algorithm Based on Quotient Granularity
Zhe Hu · Computer and Modernization · 2008
In data clustering technology,data has been divided into natural colony,and each colony characteristic describes one data mining method.This is one basic way of data mining and knowledge discovering,but traditional clustering algorithms can not efficiently handle a large number of data.One cross-over algorithm has been developed to effectively cope with the large-scale data clustering problem,thus,the paper introduces clustering based on cross-over algorithm.In the mean time,the paper realizes that the thickness of clustering can be described by granularity,so the granularity concept is introduced into clustering base on the cross-over algorithm.