Dimension Reduction for Supervised Ordering.
Toshihiro KamishimaShotaro AkahoPublished in: ICDM (2006)
Keyphrases
- dimension reduction
- unsupervised learning
- feature selection
- high dimensional
- feature extraction
- principal component analysis
- high dimensional data
- high dimensional problems
- data mining and machine learning
- semi supervised
- low dimensional
- supervised learning
- linear discriminant analysis
- dimensionality reduction
- variable selection
- singular value decomposition
- random projections
- feature space
- high dimensionality
- manifold learning
- partial least squares
- cluster analysis
- discriminative information
- learning algorithm
- high dimensional data analysis
- image processing
- dimension reduction methods
- text classification
- data mining
- active learning
- preprocessing
- decision trees
- machine learning