Automatic Data Clustering Framework Using Nature-Inspired Binary Optimization Algorithms

Cluster analysis using metaheuristic algorithms has earned increasing popularity over recent years due to the great success of these algorithms in finding high-quality clusters in complex real-world problems. This paper proposes a novel framework for automatic data clustering with the capability of...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Behnaz Merikhi, M. R. Soleymani
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Subjects:	Automatic data clustering binary search space binary clustering cluster-level constraint distortion dynamic clusters
Online Access:	https://ieeexplore.ieee.org/document/9461801/