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 SM ISO690:2012FRATAVCHAN, Valeriy, FRATAVCHAN, Tonia, ABABII, Victor. Pseudo genetic algorithm of clustering for linear and ellipsoidal clusters. In: Electronics, Communications and Computing: IC ECCO 2022, Ed. 12, 20-21 octombrie 2022, Chişinău. Chișinău: Tehnica-UTM, 2023, Editia 12, pp. 82-82a. |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
| Electronics, Communications and Computing Editia 12, 2023 |
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Conferința "Electronics, Communications and Computing" 12, Chişinău, Moldova, 20-21 octombrie 2022 | ||||||
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| Pag. 82-82a | ||||||
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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. |
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