Semi-supervised clustering via constrained symmetric non-negative matrix factorization

Keyphrases

• Semi-supervised Clustering 100%
• Pairwise Constraints 100%
• Non-negative Matrix Factorization 100%
• Cannot-link 100%
• Must-link 100%
• Symmetric Nonnegative Matrix Factorization 100%
• Matrix Factorization Model 66%
• Similarity Data 33%
• Learning Process 33%
• Cluster-based 33%
• Cluster Performance 33%
• Penalty Method 33%
• Similarity Matrix 33%
• Alternating Nonnegative Least Squares 33%
• Non-negative Least Squares Algorithm 33%

Computer Science

• Supervised Clustering 100%
• nonnegative matrix factorization 100%
• Link Constraint 100%
• Matrix Factorization Model 66%
• Least Squares Method 33%
• Learning Process 33%
• Similarity Matrix 33%
• Compressed Form 33%
• Similarity Data 33%