Papers by Ruina Bai

1 papers
Improving Multi-view Document Clustering: Leveraging Multi-structure Processor and Hybrid Ensemble Clustering Module (2024.lrec-main)

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Challenge: Experimental results show that DMsECN outperforms existing models for document clustering .
Approach: They propose a multi-view document clustering model with a processor and hybrid module . they demonstrate that DMsECN outperforms existing models by creating a consensus structure from multiple clustering structures.
Outcome: The proposed model outperforms existing models on four multi-view document clustering datasets.

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