PARALLEL GENETICS ALGORITHMS IN DATA CLUSTERING METHODS
Journal Title: Молодий вчений - Year 2018, Vol 1, Issue 53
Abstract
This article discusses the method of data clustering using parallel genetic algorithms. Selection of the optimal clustering result is based on a comparative analysis of several populations. The modified algorithm of clustering of "nearest neighbors" is taken as the basis of the proposed method. This choice provides an increase in the speed of selection of solutions, and also simplifies the structure of the chromosome in the genetic algorithm. Also for this method, it is not necessary to specify the initial number of clusters, which is an additional advantage.
Authors and Affiliations
R. Kh. Inoiatov, Zhan Zhonglin
Keywords
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