Search Results for author:
Found 5 papers, 1 papers with code
Consistency Enhancement-Based Deep Multiview Clustering via Contrastive Learning
Furthermore, the representation process for clustering is enhanced through spectral clustering, and the consistency across multiple views is improved.
Cross-View Graph Consistency Learning for Invariant Graph Representations
In this paper, we propose a cross-view graph consistency learning (CGCL) method that learns invariant graph representations for link prediction.
Deep Multiview Clustering by Contrasting Cluster Assignments
Then, a cluster-level CVCL strategy is presented to explore consistent semantic label information among the multiple views in the fine-tuning stage.
Symmetric low-rank representation for subspace clustering
We propose a symmetric low-rank representation (SLRR) method for subspace clustering, which assumes that a data set is approximately drawn from the union of multiple subspaces.
Subspace clustering using a symmetric low-rank representation
In this paper, we propose a low-rank representation with symmetric constraint (LRRSC) method for robust subspace clustering.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
