Sparse PCA through Low-rank Approximations
Dimitris S. PapailiopoulosAlexandros G. DimakisStavros KorokythakisPublished in: CoRR (2013)
Keyphrases
- sparse pca
- low rank approximation
- kernel matrix
- semidefinite programming
- singular value decomposition
- principal component analysis
- subspace learning
- feature selection
- low rank
- iterative algorithms
- kernel methods
- spectral clustering
- adjacency matrix
- anomaly detection
- principle component analysis
- kernel function
- nonnegative matrix factorization
- latent semantic indexing
- dimensionality reduction
- metric learning
- high order
- feature space
- model selection
- input space
- linear combination
- recommender systems
- pairwise
- data clustering
- training samples
- pattern recognition
- image processing