聚类——GAKFCM
作者：凯鲁嘎吉 - 博客园 http://www.cnblogs.com/kailugaji/
参考文献：黄白梅. 基于GA优化的核模糊C均值聚类算法的研究[D]. 武汉科技大学, 2013.
一、遗传算法
二、算法具体细节
1.Real Coding Mode
Each individual is represented by C×D real numbers, where C is the number of clusters and D is the dimension of the data.
2.Nonlinear Ranking Select Measurement
where q is the parameter, j is the sorting number and n is the number of individuals.
3.Adaptive Crossover Strategy
where pc0 is the initial crossover rate, t is the current evolution time of individuals and T is the maximum number of iterations.
4.Adaptive Mutation Strategy
where pm0 is the initial mutation rate, t is the current evolution time of individuals and T is the maximum number of iterations.
5.Fitness Function
其中JKFCM见聚类——KFCM。
三、算法流程
四、理解
GAKFCM是指用GA进行初始化KFCM的参数（聚类中心）。每个个体的大小与聚类中心的大小一致。