Information preserving sufficient summaries for dimension reduction.
David NelsonSiamak NoorbaloochiPublished in: J. Multivar. Anal. (2013)
Keyphrases
- dimension reduction
- information preserving
- principal component analysis
- feature extraction
- singular value decomposition
- low dimensional
- high dimensional problems
- feature space
- high dimensional
- data mining and machine learning
- unsupervised learning
- variable selection
- manifold learning
- high dimensional data
- discriminative information
- dimensionality reduction
- random projections
- linear discriminant analysis
- high dimensionality
- partial least squares
- cluster analysis
- real world
- dimension reduction methods
- high dimensional data analysis
- feature selection
- neural network
- nearest neighbor
- image data
- training set
- face recognition
- learning algorithm
- machine learning
- intrinsic dimension
- manifold embedding
- data mining
- sparse metric learning