Online Credibilistic Fuzzy Clustering Method Based on Cauchy Density Distribution Function

2021 
The problem of clustering arrays of multidimensional data, given in the form of feature vectors, sometimes quite large dimensions is an integral part of the overall problem of Data Mining, and to solve it currently offers a large number of approaches, methods, algorithms from the simplest type K-means to a rather complex ones based on an analysis of the density distribution data of high dimensionality in large arrays. A special place here is occupied by fuzzy clustering methods, which are synthesized under the assumptions of mutual intersection of classes, which are formed in the process of data analysis.
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