A function for measuring clustering validity based on the fuzzy clustering algorithm is defined with which the number of fuzzy rules can be determined.
在模糊聚类算法的基础上，提出了一个衡量聚类有效性的函数，以确定模糊规则的数目。
A cluster validity function-based method is proposed for solving the problem of clustering for area geographical entities when the number of cluster is unknown.
为解决聚类数未知条件下面状地理实体的聚类问题，文中提出了一种基于聚类有效性函数的聚类方法。
Further more, this method can determine the best clustering number using the validity function in training progress.
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.
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。
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