Robust manifold matrix factorization for joint clustering and feature extraction

Keyphrases

• Feature Extraction Methods 100%
• Feature Extraction 100%
• Matrix Approximation 100%
• Low-dimensional Representation 100%
• Matrix Factorization 100%
• Joint Feature 100%
• Joint Clustering 100%
• Pattern Recognition Applications 50%
• Computer Vision 50%
• L1-norm 50%
• Augmented Lagrangian Method 50%
• K-means 50%
• Superior Performance 50%
• Clustering Algorithm 50%
• Projection Matrix 50%
• Feature Representation 50%
• Feature Matrix 50%
• Label Information 50%
• Reconstruction Error 50%
• Vision Recognition 50%
• 2-norm 50%
• Subspace Clustering 50%
• Data Matrix 50%
• Latent Feature 50%
• Manifold Regularization 50%
• Low-rank Matrix Factorization 50%
• Cluster Label 50%
• Low-rank Matrix Approximation 50%
• Data Subspace 50%
• Norm-based 50%
• Novel Clustering 50%
• Clustering Extraction Algorithm 50%

Computer Science

• Matrix Factorization 100%
• Feature Extraction 100%
• Approximated Matrix 75%
• Superior Performance 25%
• Discriminability 25%
• Reconstruction Error 25%
• Data Matrix 25%
• Regularization 25%
• Objective Function 25%
• Experimental Result 25%
• Clustering Algorithm 25%
• Projection Matrix 25%
• Computer Vision 25%
• Pattern Recognition 25%
• Feature Matrix 25%