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Ensemble Clustering based on Meta-Learning and Hyperparameter Optimization

Summary: EffEns uses meta-learning to predict dataset characteristics and the mapping between generated base clusterings and consensus-function effectiveness, enabling targeted, efficient ensemble generation. Then selects and hyperparameter-optimizes a consensus function, yielding faster and more accurate ensembles than prior methods. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13508
Venue
VLDB
Year
2024
Pagerank
4.1945683e-05
Overall Rank
11,045 | 23.17%
DOI
10.14778/3681954.3681970

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