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.
Incomplete multi- view clustering with joint partition and graph learning.IEEE Transactions on Knowledge and Data Engineering, 35(1): 589–602, 2021
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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.