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

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2 Author(s)
Yingjun Zhou ; Sch. of Econ. & Manage., Tongji Univ., Shanghai, China ; Jianxin You

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.

Published in:

Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on

Date of Conference:

15-17 July 2011