An effective framework for supervised dimension reduction.
Khoat ThanTu Bao HoDuy Khuong NguyenPublished in: Neurocomputing (2014)
Keyphrases
- dimension reduction
- feature extraction
- principal component analysis
- sparse metric learning
- high dimensional data
- high dimensional
- unsupervised learning
- data sets
- random projections
- high dimensionality
- linear discriminant analysis
- preprocessing
- low dimensional
- supervised learning
- singular value decomposition
- k means
- similarity measure
- feature selection
- data mining and machine learning
- high dimensional data analysis
- database