关键词: 遗传算法, 粗糙k-均值聚类, 增量聚类, 密度

Abstract: A lot of clustering algorithms and their variants have been made in the field of data mining，but the studies for incremental clustering method are little.When the data set has changed for its update，the data mining results should make necessary updates as well.Because of large volumes of data，if the clustering algorithms are used after adding the new datas，clearly the efficiency is not high，further study of incremental clustering algorithm is very necessary.This paper proposes an improved Incremental Rough Clustering method Based on Genetic Algorithm（IRCBGA）.Numerical simulations show that the algorithm can be a good solution to the clustering problem of data’s update of the traditional clustering algorithm.

Key words: genetic algorithms, rough k-means clustering, incremental clustering, density