DSpace Repository

Pseudo Genetic Algorithm of Clustering For Linear and Ellipsoidal Clusters

Show simple item record

dc.contributor.author FRATAVCHAN, Valerіi
dc.contributor.author FRATAVCHAN, Tonia
dc.contributor.author ABABII, Victor
dc.date.accessioned 2022-12-28T10:41:57Z
dc.date.available 2022-12-28T10:41:57Z
dc.date.issued 2022
dc.identifier.citation FRATAVCHAN, Valerіi, FRATAVCHAN, Tonia, ABABII, Victor. Pseudo Genetic Algorithm of Clustering For Linear and Ellipsoidal Clusters. In: Electronics, Communications and Computing (IC ECCO-2022): 12th intern. conf., 20-21 Oct. 2022, Chişinău, Republica Moldova: conf. proc., Chişinău, 2022, pp. 183-185. en_US
dc.identifier.uri https://doi.org/10.52326/ic-ecco.2022/CS.07
dc.identifier.uri http://repository.utm.md/handle/5014/21853
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. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject pattern recognition en_US
dc.subject clustering en_US
dc.subject numerical features en_US
dc.subject linear clusters en_US
dc.subject ellipsoidal clusters en_US
dc.title Pseudo Genetic Algorithm of Clustering For Linear and Ellipsoidal Clusters en_US
dc.type Article en_US


Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s)

  • 2022
    Proceedings of the 12th IC|ECCO; October 20-21, 2022

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

Search DSpace


Advanced Search

Browse

My Account