Robust multivariate association and dimension reduction using density divergences.
Ross IaciT. N. SriramPublished in: J. Multivar. Anal. (2013)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional data
- high dimensional
- data mining and machine learning
- manifold learning
- low dimensional
- variable selection
- high dimensional problems
- singular value decomposition
- linear discriminant analysis
- feature selection
- feature space
- generative topographic mapping
- partial least squares
- random projections
- cluster analysis
- high dimensionality
- unsupervised learning
- dimensionality reduction
- dimension reduction methods
- data analysis
- sparse metric learning
- high dimensional data analysis
- neural network
- discriminative information
- least squares
- nearest neighbor
- support vector
- data mining