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A Note on Objective-Based Rough Clustering with Fuzzy-Set Representation

机译:关于基于目标的具有模糊集表示的粗糙聚类的注记

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Clustering is a method of data analysis. Rough k-means (RKM) by Lingras et al. is one of rough clustering algorithms. The method does not have a clear indicator to determine the most appropriate result because it is not based on objective function. Therefore we proposed a rough clustering algorithm based on optimization of an objective function. This paper will propose a new rough clustering algorithm based on optimization of an objective function with fuzzy-set representation to obtain better lower approximation, and estimate the effectiveness through some numerical examples.
机译:聚类是一种数据分析方法。 Lingras等人的粗糙k均值(RKM)。是粗糙聚类算法之一。该方法没有明确的指标来确定最合适的结果,因为它不是基于目标函数的。因此,我们提出了一种基于目标函数优化的粗糙聚类算法。本文将提出一种新的基于模糊集表示的目标函数优化的粗糙聚类算法,以获得更好的较低逼近度,并通过一些数值示例来评估其有效性。

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