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Although fuzzy c-means classifier has been proved preferable to crisp ones and various types of fuzzy c-means classifiers have been designed, none of them are universal enough to perform equally well in all cases. A promising direction for more robust fuzzy c-means classification is to derive multiple candidate fuzzy c-means classification over a common dataset and then combine them into a consolidate...
This paper presents a novel rough-based feature selection method for gene expression data analysis. It can find the relevant features without requiring the number of clusters to be known a priori and identify the centers that approximate to the correct ones. In this paper, we attempt to introduce a prediction scheme that combines the rough-based feature selection method with radial basis function...
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