A Chaotic-Based Interactive Autodidactic School Algorithm for Data Clustering Problems and Its Application on COVID-19 Disease Detection
In many disciplines, including pattern recognition, data mining, machine learning, image analysis, and bioinformatics, data clustering is a common analytical tool for data statistics. The majority of conventional clustering techniques are slow to converge and frequently get stuck in local optima. In...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
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Series: | Symmetry |
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Online Access: | https://www.mdpi.com/2073-8994/15/4/894 |