Sinh-Cosh Optimization-Based Efficient Clustering for Big Data Applications

Sinh-Cosh Optimization-Based Efficient Clustering for Big Data Applications

Data clustering is a pivotal aspect of data mining, attracting significant attention in the exploration of cluster analysis through optimization algorithms. However, challenges arise in the application of optimization-based techniques, stemming from the non-linear nature of the objective function an...

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Bibliographic Details
Main Authors: Lahbib Khrissi, Mohammed Es-Sabry, Nabil El Akkad, Hassan Satori, Saad Aldosary, Walid El-Shafai
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Data clustering
machine learning
big data
metaheuristic
Sinh Cosh optimizer
Online Access:https://ieeexplore.ieee.org/document/10804793/
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https://ieeexplore.ieee.org/document/10804793/

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