The main research of this paper includes four parts : a . analyzing the sampling methods for testing the large - scale corpus segmentation and using isodata clustering method to sort the corpus ; b . presenting the mode configuration of corpus ; c . analyzing the measurement formula for the similarity of samples , and adopting a new measurement formula , in which the distance of the sample vector and the linear correlation between the components of the sample vector are taken into consideration comprehensively ; d . presenting evaluation function of the result 研究聚类中的样本相似性度量公式，采用改进的绝对值法计算。该公式既能反映样本向量间的距离，又能反应样本向量各分量之间的相关性； d给出聚类结果的评价函数，根据该评价函数可以实现对聚类参数的有益指导，在聚类结束时还可根据评价函数值直接求得聚类所带来的增益。
