FUZZY C - MEANS CLUSTERING IN MATLAB

P aper is a survey of fuzzy logic theory applied in cluster analysis. Fuzzy logic becomes more and more important in modern science. It is widely used: from data analysis and forecasting to complex control systems. In this article we consider clustering based on fuzzy logic, named Fuzzy Clustering. Clustering involves the task of dividing data points into homogeneous classes or clusters so that items in the same class are as similar as possible and items in different classes are as dissimilar as possible. (Řezankova, 201 3 ). In hard clustering, data is divided into crisp cl usters, where each data point belongs to exactly one cluster. In fuzzy clustering, the data points can belong to more than one cluster, and associated with each of the points are membership grades which indicate the degree to which the data points belong t o the different clu sters. There are many methods of Fuzzy Clustering nowadays. In our work we review the Fuzzy c - means clustering method in MATLAB .

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