Clusterization of vector and matrix data arrays using the combined evolutionary method of fish schools

Clusterization of vector and matrix data arrays using the combined evolutionary method of fish schools

The problem of clustering data arrays described in both vector and matrix forms and based on the optimization of data distribution density functions in these arrays is considered. For the optimization of these functions, the algorithm that is a hybrid of Fish School Search, random search, and evolut...

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Bibliographic Details
Main Authors: Yevgeniy Bodyanskiy, Alina Shafronenko, Iryna Pliss
Format: Article
Language:Ukrainian
Published: Igor Sikorsky Kyiv Polytechnic Institute 2022-12-01
Series:Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï
Subjects:
combined optimization
fuzzy clustering
evolutionary algorithms
density functions
fish school
Online Access:http://journal.iasa.kpi.ua/article/view/275083

Internet

http://journal.iasa.kpi.ua/article/view/275083

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