A refined rough fuzzy clustering algorithm

摘要: Clustering is a familiar concept in the realm of Data mining and has wide applications areas like image processing, pattern recognition rule generation. Uncertainty present day databases common feature. In order to handle these datasets, several clustering algorithms have been formulated literature. The first one being Fuzzy C-Means (FCM) algorithm it was followed by Rough (RCM) Lingras. paper Lingras refined his previous algorithm. We combine this with fuzzy C-means generate rough (RFCM) paper. Also, we provide comparative analysis earlier RFCM introduced Mitra et al establish that our performs better. use both numeric as well datasets input performance indices DB D for purpose.