Fast multi-view discrete clustering with two solvers

Keyphrases

• Eigenvalue Decomposition 100%
• Multi-view Clustering 100%
• Discrete Clustering 100%
• Superior Performance 50%
• Clustering Problem 50%
• Graph Construction 50%
• Compact Set 50%
• Doubly Stochastic 50%
• Similarity Matrix 50%
• Linear Computational Complexity 50%
• View-specific 50%
• High Computational Cost 50%
• Similarity Graph 50%
• Graph Eigenvalues 50%
• Efficient Solver 50%
• Process Construction 50%
• Anchor Graph 50%
• Three-phase Process 50%
• Clustering Indicators 50%
• Discrete Indicator Matrix 50%

Computer Science

• Eigenvalue 100%
• Clustering Graph 100%
• Postprocessing 50%
• Superior Performance 50%
• Information Deviation 50%
• Graph Construction 50%
• Indicator Matrix 50%
• Similarity Graph 50%
• Computational Complexity 50%
• Computational Cost 50%
• Similarity Matrix 50%