Dimension reduction for finite trees in L_1
James R. LeeArnaud de MesmayMohammad MoharramiPublished in: CoRR (2011)
Keyphrases
- dimension reduction
- feature extraction
- principal component analysis
- high dimensional
- high dimensional problems
- data mining and machine learning
- low dimensional
- decision trees
- variable selection
- high dimensional data
- singular value decomposition
- feature selection
- random projections
- partial least squares
- discriminative information
- linear discriminant analysis
- high dimensional data analysis
- cluster analysis
- feature space
- manifold learning
- unsupervised learning
- dimensionality reduction
- high dimensionality
- training set
- real world
- dimension reduction methods
- active learning
- preprocessing
- object recognition
- feature subspace
- data sets
- database