Sufficient dimension reduction in multivariate regressions with categorical predictors.
Haileab HilafuXiangrong YinPublished in: Comput. Stat. Data Anal. (2013)
Keyphrases
- dimension reduction
- low dimensional
- feature extraction
- high dimensional
- principal component analysis
- singular value decomposition
- high dimensional data
- generative topographic mapping
- high dimensional problems
- data mining and machine learning
- random projections
- feature selection
- manifold learning
- unsupervised learning
- feature space
- partial least squares
- cluster analysis
- linear discriminant analysis
- variable selection
- high dimensionality
- categorical data
- preprocessing
- dimensionality reduction
- linear model
- regression model
- discriminative information
- neural network
- factor analysis
- high dimensional data analysis
- decision trees
- data analysis
- training set
- model selection