Supervised dimension reduction mappings.
Kerstin BunteMichael BiehlBarbara HammerPublished in: ESANN (2011)
Keyphrases
- dimension reduction
- unsupervised learning
- feature selection
- principal component analysis
- feature extraction
- high dimensional
- random projections
- low dimensional
- semi supervised
- partial least squares
- high dimensional problems
- supervised learning
- variable selection
- feature space
- manifold learning
- linear discriminant analysis
- singular value decomposition
- high dimensional data analysis
- cluster analysis
- high dimensional data
- dimensionality reduction
- learning algorithm
- high dimensionality
- discriminative information
- data mining and machine learning
- pattern recognition
- dimension reduction methods
- machine learning