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An Accurate, Fast and Noise-Adaptive segmentation of Brain MR Images for clinical Analysis is a challenging problem. An improved Hybrid Clustering Algorithm is presented here, which integrates the concept of recently popularized Rough Sets and that of Fuzzy Sets. The concept of lower and upper approximations of rough sets is incorporated to handle uncertainty, vagueness, and incompleteness in class...
Most of the clustering algorithms perform loosely when dimensionality of the data set increase because some dimensions contain irrelevant or noisy data and randomly initialization of clusters centres gives the local optimum clustering. In this paper, we proposed a technique for reducing the effect of high dimensionality and randomly initialization of clusters centres. It consists of three phases....
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