An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA.
Shixiang ChenShiqian MaLingzhou XueHui ZouPublished in: CoRR (2019)
Keyphrases
- sparse pca
- gradient method
- feature selection
- canonical correlation analysis
- principal component analysis
- convergence rate
- anomaly detection
- optimization methods
- negative matrix factorization
- semidefinite programming
- step size
- low dimensional
- high dimensional
- lower dimensional
- feature space
- evolutionary algorithm
- data sets
- convergence speed
- principle component analysis
- image segmentation
- machine learning