Clustering with Nature-Inspired Algorithm Based on Territorial Behavior of Predatory Animals
Clustering constitutes a well-known problem of division of unlabelled dataset into disjoint groups of data elements. It can be tackled with standard statistical methods but also with metaheuristics, which offer more flexibility and decent performance. The paper studies the application of the cluster...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
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Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/15/2/43 |