改进的基于遗传算法与FCSS相结合的模糊球壳聚类算法

摘要

遗传算法（GA）被广泛地应用在聚类算法中.但是当数据点多时,其计算量大的问题是不容忽视的.针对与遗传算法相结合的FCSS算法中的这一不足,主要通过研究了GA初始化种群的选取方法,对GA-FCSS算法进行了改进.实验数据表明：改进的GA-FCSS算法在收敛速度方面有令人满意的效果.%The genetic algorithm (GA) is wildly applied into the clustering algorithm, but when the data points is excessive, the algorithm calculation amount takes too long . According to the shortage of the algorithm integrated with the FCSS algorithm and the genetic algorithm, the main research is propose a new method to improved the select initial population in GA - FCSS. The experiment show result that the new method of select initial population has better effects in the speed of converges.