针对K -平均算法存在的缺陷，通过引入相对最佳随机划分方法以及在计算样本与簇中心时的权重，改进了K -平均算法。
This article analyzes the deficiency of K-means algorithm and improves the algorithm with relative best partition and weight in the computation of distance of clusters and cases.
方法随机抽取病案，专家分工，流水作业评价，设定权重系数。
Methods select medical record randomly for specialists to evaluate them seperatively and rotately by setting up weight coefficient.
方法随机抽取病案，专家分工，流水作业评价，设定权重系数。
Methods select medical record randomly for specialists to evaluate them seperatively and rotately by setting up weight coefficient.
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