Research of data mining of clustering analysis based on improved genetic algorithm

Abstract

Traditional K-Means algorithm is sensitive to the initial centers and easy to get stuck at locally optimal value.This paper presents a new improved genetic algorithm by means of operations of adaptive crossover and adaptive mutation. Experimental results demonstrate that the algorithm has greater global searching capability and can get better clustering.