K-based clustering, scores (rows) under diverse settings of spherical k-means algorithm (columns), when the number of dimensions used (columns) r = 10; the highest values in 10 runs.

K-based clustering, scores (rows) under diverse settings of spherical k-means algorithm (columns), when the number of dimensions used (columns) r = 10; the highest values in 10 runs.基于K的聚类得分：当所用维度数r=10时，球面K均值算法（spherical k-means algorithm）的多种参数设置对应列维度，各参数配置下的聚类得分对应行维度，且所有得分均为10次独立运行中的最高值。