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Research on Improved Weighted Fuzzy Clustering Algorithm Based on Rough Set

机译:基于粗糙集的改进加权模糊聚类算法研究

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Clustering is used to find out the objects that resemble each other and compose different groups, cluster analysis is an important job in data mining. Thisarticle brings the rough set into fuzzy cluster, by using the methods of attributes contracted in the rough set theory to improve the FCM algorithm; the improvedalgorithm had been proved a high precise ratio.
机译:群集用于找出相互彼此的对象并撰写不同的组,群集分析是数据挖掘的重要作用。本节将粗糙集合中的粗糙集集成模糊群集,通过使用粗糙集理论中的属性方法来提高FCM算法;改变的算法已经证明了高精度的比例。

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