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...

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Bibliographic Details
Main Authors: Farhad Soleimanian Gharehchopogh, Aysan Alavi Khargoush
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/15/4/894