Minimum-volume-regularized weighted symmetric nonnegative matrix factorization for clustering

Keyphrases

• Minimum Volume 100%
• Symmetric Nonnegative Matrix Factorization 100%
• Non-negative Matrix Factorization 60%
• Similarity Matrix 40%
• Signal Processing 20%
• Machine Learning Processing 20%
• Low-dimensional Subspace 20%
• Numerical Simulation Results 20%
• Clustering Problem 20%
• Noisy Data 20%
• Computationally Efficient Algorithms 20%
• Convergence Guarantee 20%
• Robust Nonnegative Matrix Factorization 20%
• Clustering Accuracy 20%
• SNMF 20%
• Clustering Results 20%
• Nonlinear Data Structure 20%

Mathematics

• Factorization 100%
• Matrix 100%
• Clustering 100%
• Approximates 10%
• Data Point 10%
• Data Structure 10%
• Dimensional Subspace 10%
• Noisy Data 10%
• Interpretability 10%
• Similarity of Matrix 10%
• Signal Processing 10%

Computer Science

• nonnegative matrix factorization 100%
• Similarity Matrix 22%
• Data Structure 11%
• Efficient Algorithm 11%
• Interpretability 11%
• Clustering Result 11%
• Dimensional Subspace 11%
• Numerical Simulation 11%
• Machine Learning 11%
• Learning System 11%