PLS and dimension reduction for classification.
Yushu LiuWilliam S. RayensPublished in: Comput. Stat. (2007)
Keyphrases
- dimension reduction
- partial least squares
- feature extraction
- principal component analysis
- feature selection
- data mining and machine learning
- high dimensional
- discriminative information
- high dimensional problems
- manifold learning
- linear discriminant analysis
- variable selection
- singular value decomposition
- low dimensional
- high dimensionality
- unsupervised learning
- random projections
- high dimensional data
- feature space
- cluster analysis
- dimension reduction methods
- principle component analysis
- preprocessing
- dimensionality reduction
- manifold embedding
- classification models
- text classification
- pattern recognition
- feature construction
- image processing
- high dimensional data analysis
- data sets
- discriminant analysis
- model selection
- least squares
- feature vectors
- data analysis
- face recognition
- machine learning
- neural network