Continuum directions for supervised dimension reduction.
Sungkyu JungPublished in: Comput. Stat. Data Anal. (2018)
Keyphrases
- dimension reduction
- unsupervised learning
- feature selection
- principal component analysis
- feature extraction
- variable selection
- low dimensional
- high dimensional
- supervised learning
- singular value decomposition
- manifold learning
- high dimensional data
- high dimensionality
- high dimensional problems
- data mining and machine learning
- random projections
- partial least squares
- semi supervised
- learning algorithm
- high dimensional data analysis
- cluster analysis
- linear discriminant analysis
- dimensionality reduction
- feature space
- discriminative information
- dimension reduction methods
- machine learning
- preprocessing
- image data
- training data
- image processing
- data sets
- sparse metric learning