Set-based Particle Swarm Optimization for Data Clustering: Comparison and Analysis of Control Parameters-Reference-Cited by-同舟云学术

Set-based Particle Swarm Optimization for Data Clustering: Comparison and Analysis of Control Parameters

Published:2023-04-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
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Author:

de Wet Rijk Marius¹^ORCID,Engelbrecht Andries²^ORCID

Affiliation:

1. Department of Industrial Engineering, Stellenbosch University, South Africa

2. Department of Industrial Engineering and Computer Science Division, Stellenbosch University, South Africa and Center for Applied Mathematics and Bioinformatics, Gulf University for Science and Technology, Kuwait

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3596947.3596956

Reference15 articles.

1. F-Race and Iterated F-Race: An Overview

2. Lienke M. Brown and A. P. Engelbrecht . 2021 . Set-based Particle Swarm Optimization for Data Clustering. 2022 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI ’22) (April 2021). Lienke M. Brown and A. P. Engelbrecht. 2021. Set-based Particle Swarm Optimization for Data Clustering. 2022 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI ’22) (April 2021).

3. Dheeru Dua and Casey Graff. 2017. UCI Machine Learning Repository. http://archive.ics.uci.edu/ml Dheeru Dua and Casey Graff. 2017. UCI Machine Learning Repository. http://archive.ics.uci.edu/ml

4. Diversity Measures for Set-Based Meta-Heuristics

5. K-means properties on six clustering benchmark datasets

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