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

Mathematics

• Semi-supervised Clustering 100%
• Non-negative Matrix Factorization 80%
• Symmetric matrix 51%
• Pairwise 20%
• Matrix Factorization 19%
• Penalty 14%
• Similarity 13%
• Model 12%
• Strategy 10%
• Learning Process 10%
• Least Square Algorithm 9%
• Performance 9%
• Encoding 7%
• Clustering 7%
• Factorization 6%
• Non-negative 5%
• Series 4%
• Form 3%

Engineering & Materials Science

• Factorization 53%