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4 papers · 2 filters
Online Multi-view Clustering with Incomplete Views
Weixiang Shao, Lifang He, Chun-Ta Lu +1
In the era of big data, it is common to have data with multiple modalities or coming from multiple sources, known as "multi-view data". Multi-view clustering provides a natural way…
Online Unsupervised Multi-view Feature Selection
Weixiang Shao, Lifang He, Chun-Ta Lu +2
In the era of big data, it is becoming common to have data with multiple modalities or coming from multiple sources, known as "multi-view data". Multi-view data are usually unlabel…
Random Forest for Label Ranking
Yangming Zhou, Guoping Qiu
Label ranking aims to learn a mapping from instances to rankings over a finite number of predefined labels. Random forest is a powerful and one of the most successful general-purpo…
Multi-Source Multi-View Clustering via Discrepancy Penalty
Weixiang Shao, Jiawei Zhang, Lifang He +1
With the advance of technology, entities can be observed in multiple views. Multiple views containing different types of features can be used for clustering. Although multi-view cl…