Sufficient dimension reduction constrained through sub-populations.
Elias Al-NajjarKofi P. AdragniPublished in: Comput. Stat. Data Anal. (2017)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- singular value decomposition
- high dimensional
- discriminative information
- feature selection
- data mining and machine learning
- linear discriminant analysis
- variable selection
- high dimensional problems
- high dimensional data
- low dimensional
- random projections
- unsupervised learning
- partial least squares
- manifold learning
- feature space
- dimension reduction methods
- dimensionality reduction
- high dimensionality
- data sets
- high dimensional data analysis
- cluster analysis
- k nearest neighbor
- supervised learning
- probabilistic model
- preprocessing
- computer vision