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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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183-185_28.pdf | 171.53 kB | Adobe PDF | View/Open |
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