Dimension Reduction for Finite Trees in ℓ 1.
James R. LeeArnaud de MesmayMohammad MoharramiPublished in: Discret. Comput. Geom. (2013)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional
- feature extraction
- high dimensional problems
- random projections
- low dimensional
- decision trees
- variable selection
- data mining and machine learning
- feature selection
- singular value decomposition
- dimensionality reduction
- high dimensional data
- discriminative information
- cluster analysis
- manifold learning
- linear discriminant analysis
- feature space
- high dimensional data analysis
- unsupervised learning
- neural network
- image data
- preprocessing
- data mining
- partial least squares
- pairwise