Clustering the unlabeled data using a modified cat swarm optimization
This paper presents a modified version of the Cat Swarm Optimization (CSO) algorithm aimed at addressing the limitations of traditional clustering methods in handling complex, high-dimensional datasets. The primary objective of this research is to improve clustering accuracy and stability by elimina...
| Published in: | Journal of Applied Data Sciences |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Bright Publisher
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210851113&doi=10.47738%2fjads.v5i3.349&partnerID=40&md5=b9bbaca40cab8a163ad06306ff30229f |