On Applying Dimension Reduction for Multi-labeled Problems.
Moonhwi LeeCheong Hee ParkPublished in: MLDM (2007)
Keyphrases
- dimension reduction
- high dimensional problems
- data mining and machine learning
- high dimensionality
- feature extraction
- feature space
- high dimensional
- feature selection
- high dimensional data analysis
- random projections
- singular value decomposition
- preprocessing
- principal component analysis
- dimensionality reduction
- low dimensional
- high dimensional data
- supervised learning
- cluster analysis
- linear discriminant analysis
- nearest neighbor
- pairwise
- variable selection
- training set
- partial least squares
- decision trees
- machine learning