In this paper, we propose a novel method called multi-view unsupervised feature selection with consensus partition and diverse graph (CDMvFS). Our approach ...

Apr 17, 2024 · In light of this, we propose generating multiple graphs that are as mutually exclusive as possible to enhance the complementarity between views.

To this end, we not only unify two major categories of consensus clustering, but also build an intuitive connection between consensus clustering and graph ...

Multi-view unsupervised feature selection with consensus partition and diverse graph · List of references · Publications that cite this publication.

Jul 4, 2024 · Adaptive similarity learning of multiple views plays an important role in maintaining heterogeneous information in the selected features.

Mar 19, 2024 · The key challenge in multiview feature selection is to effec- tively mine and exploit the consensus and complementarity among views to select ...

Mar 4, 2024 · In this paper, we propose a new insight to construct graphs that can accommodate multi-order neighbor information for selecting the relevant ...

Multi-view unsupervised feature selection with consensus partition and diverse graph · Comprehensive consensus representation learning for incomplete multiview ...

In light of this, we propose the Consensus Guided Unsupervised Feature Selection (CGUFS) framework, which introduces consensus clustering to generate pseudo ...

Missing: consensus partition diverse