...聚类有效性 [gap=876] words:fuzzy C-means(FCM) clustering; particle swarm optimization(PSO); entropy; clustering efficiency ...
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The problems relating to cluster include data preprocessing, similarity measure and cluster validity.
与聚类相关的问题的有数据预处理、相似性度量、聚类有效性等。
参考来源 - 聚类分析及其在基因表达数据中的应用研究Seconds. the clustering validity problems are studied, two type抯 functions are proposed which based on the fuzzy partitions and the geometry structures of data set.
其次对聚类有效性问题进行了研究，提出了基于模糊划分的聚类有效性函数和基于数据的几何结构的聚类有效性函数。
参考来源 - 模糊聚类新算法与聚类有效性问题研究·2,447,543篇论文数据，部分数据来源于NoteExpress
划分系数是聚类有效性检测中常用方法之一。
Partition coefficient is a common method for clustering validity test.
本文讨论了模糊聚类中的模糊C均值算法和聚类有效性测度。
This paper discusses the fuzzy C-means algorithm (FCM), one of the fuzzy clustering methods and clustering validity measurements.
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.
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