A missing-pattern tree groups data by missing patterns for per-group clustering, followed by uncertainty-weighted ensemble and knowledge distillation to better exploit available pairs in incomplete multi-view clustering.
Bagging-based spectral clustering ensemble selection.Pattern Recognition Letters, 32(10):1456–1467, 2011
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Missing Pattern Tree based Decision Grouping and Ensemble for Enhancing Pair Utilization in Deep Incomplete Multi-View Clustering
A missing-pattern tree groups data by missing patterns for per-group clustering, followed by uncertainty-weighted ensemble and knowledge distillation to better exploit available pairs in incomplete multi-view clustering.