基于欧氏距离的聚类方法往往会得到球形簇，直接计算球形簇的球心及半径有很大困难，提出了一种算法以逐渐逼近的方式确定这两个参数。理论分析和实验结果都证明该算法能够达到精确度要求。%The clustering method based on Euclidean distance usually leads to spherical clus-ter. It is very difficult to compute the center and radius of the spherical cluster. Proposes a algorithm to determine the two parameters with gradually approaching method. The theoretical analysis and ex-perimental results both show that the algorithm reaches the demand of precision.
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