基于距离修正的模糊C-球壳聚类算法

Fuzzy C Spherical Shell Clustering Algorithm Based on Eucliden Distance

针对基于欧氏距离的模糊Ｃ球壳聚类算法，在隶属度的计算中存在的不合理性提出新算法。新算法通过修正数据到原型的距离，使隶属度的计算利用了原型的几何结构信息，提高了算法的收敛速度。

The euclidean distance based fuzzy C spherical shell clustering algorithms are analyzed and the improved fuzzy C spherical shell clustering algorithms with the geometric structure information of the prototypes taken into acecount are presented. The improved algorithms have fast convergence speed.