A Genetic K-means Algorithm for Spatial Clustering
Haiyan Zhou · Jisuanji gongcheng · 2006
Spatial data mining(SDM) is a branch of data mining(DM).Spatial clustering is an important research topic in SDM.This paper proposes a novel genetic K-means algorithm for spatial clustering after analyzing advantages and disadvantages of genetic algorithm and K-means algorithm.The spatial clustering algorithm can give attention to local constringency and the whole constringency.The experimental results show that it is better than simple genetic algorithm and tradition K-means algorithm.