Advanced Algorithm for Clustering: Optimization and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 29
Special Issue Editors
Interests: machine learning; data mining; artificial intelligence
Special Issue Information
Dear Colleagues,
Clustering is a fundamental unsupervised machine learning problem which tries to handle increasingly complex and large-scale datasets across diverse domains, and thus has attracted much attention. This Special Issue aims to showcase cutting-edge research that pushes the boundaries of clustering methodologies, optimization techniques, and their practical applications. The issue brings together innovative contributions that address key challenges in clustering, such as scalability, robustness, interpretability, and adaptability to high-dimensional and heterogeneous data.
Topics of interest include, but are not limited to, novel clustering algorithms, optimization-driven approaches, deep learning-based clustering, ensemble methods, and applications of clustering in areas like bioinformatics, social network analysis, image segmentation, and beyond.
Prof. Dr. Peng Zhou
Dr. Liang Du
Guest Editors
Manuscript Submission Information
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Keywords
- clustering
- optimization
- machine learning
- data mining
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