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。
We choose at each step the merging of clusters that results in the greatest increase (or smallest decrease) of clustering validity index.
该算法通过引入聚类有效性函数，实现了最优特征数目的自动确定。
The optimal feature number is decided automatically by the introduced cluster validity function.
同时，算法可以在训练过程中通过有效性函数自适应地确定最佳聚类数目。
Further more, this method can determine the best clustering number using the validity function in training progress.
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