We choose at each step the merging of clusters that results in the greatest increase (or smallest decrease) of clustering validity index.
算法每步合并两个簇，使有效性函数值增加最大或减小最少。
Cluster validity index is used to scale the validity of clustering, and determine the number of clusters.
聚类有效性指标既可用来评价聚类结果的有效性，也可以用来确定最佳聚类数。
Sometimes, the definition of similarity in the clustering algorithm is not consistent with that in the cluster validity index, so that the value of index is useless in this case.
聚类算法与聚类评价指标所采取的相似性定义往往并不一致，这就导致了在某种意义下聚类评价指标的无用性。
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