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Distributed multi-objective genetic model for parallel co-clustering ensemble
DOI:10.1016/j.asoc.2025.113437.png)
Abstract
En 中文
• GPCCE integrates base learners via parallel GA to improve co-clustering performance. • Results are distributed to sub-nodes, ensuring robustness and population diversity. • GPCCE shows strong robustness and outperforms others on real and synthetic datasets.
Journal
IF:
6.6
Papers:
1.4W
Citations:
4.8W
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