一种新的模糊c回归模型聚类效度准则

2009 IEEE International Conference on Fuzzy Systems Pub Date : 2009-10-02 DOI:10.1109/FUZZY.2009.5277386

C. Kung, J. Su, Yi-Fen Nieh

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引用次数: 7

摘要

针对超平面型模糊c回归模型(FCRM)聚类算法，提出了一种新的聚类有效性准则。我们将模糊超体积的概念与聚类有效性准则中的紧度有效性函数相结合。提出的聚类有效性准则通过计算FCRM分区的总体紧密度和分离度来确定适当的聚类数量。仿真结果验证了该方法的正确性和有效性。

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A novel cluster validity criterion for fuzzy C-regression models

This paper proposed a novel cluster validity criterion for fuzzy c-regression models (FCRM) clustering algorithm with hyper-plane-shaped clusters. We combined the concept of fuzzy hypervolume with the compactness validity function in the cluster validity criterion. The proposed cluster validity criterion determined the appropriate number of clusters by calculating the overall compactness and separateness of the FCRM partition. The simulation results demonstrated the validness and effectiveness of the proposed method.

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2009 IEEE International Conference on Fuzzy Systems

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