Pseudo Genetic Algorithm of Clustering For Linear and Ellipsoidal Clusters
| dc.contributor.author | Fratavchan, Valerіi | |
| dc.contributor.author | Fratavchan, Tonia | |
| dc.contributor.author | Ababii, Victor | |
| dc.date.accessioned | 2022-11-04T12:10:44Z | |
| dc.date.available | 2022-11-04T12:10:44Z | |
| dc.date.issued | 2022-10 | |
| dc.description.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 | uk_UA |
| dc.identifier.uri | https://archer.chnu.edu.ua/xmlui/handle/123456789/4942 | |
| dc.relation.ispartofseries | The 12th International Conference on Electronics, Communications and Computing. – 20-21 October, 2022, Chisinau, Republic of Moldova; | |
| dc.subject | cluster, clustering, linear cluster, ellipsoidal cluster, genetic algorithm, mutation, crossover, discriminant function. | uk_UA |
| dc.title | Pseudo Genetic Algorithm of Clustering For Linear and Ellipsoidal Clusters | uk_UA |
| dc.type | Article | uk_UA |