Please use this identifier to cite or link to this item: http://cris.utm.md/handle/5014/2056
Title: Pseudo Genetic Algorithm of Clustering For Linear and Ellipsoidal Clusters
Authors: FRATAVCHAN, Valerii 
FRATAVCHAN, Tonia 
ABABII, Victor 
Keywords: Cluster;clustering;linear cluster;ellipsoidal cluster;genetic algorithm;Mutation;crossover;discriminant function
Issue Date: 2022
Source: FRATAVCHAN, Valeriy, FRATAVCHAN, Tonia, ABABII, Victor. Pseudo Genetic Algorithm of Clustering For Linear and Ellipsoidal Clusters. In: Electronics, Communications and Computing, Ed. 12, 20-21 octombrie 2022, Chişinău. Chișinău: Tehnica-UTM, 2023, Editia 12, pp. 183-185. DOI: 10.52326/ic-ecco.2022/CS.07
Conference: Electronics, Communications and Computing 
Abstract: 
this article considers the method of clustering in the problems of pattern recognition when studying with a teacher in the case of n-dimensional numerical features. Clusters of linear and ellipsoidal forms that are optimal in the number of errors are created by the method of pseudo genetic algorithm. The pseudo genetic algorithm has a simplified procedure for performing mutation and crossover operations.
URI: http://cris.utm.md/handle/5014/2056
DOI: 10.52326/ic-ecco.2022/CS.07
Appears in Collections:Proceedings Papers

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