Feature unionization: A novel approach for dimension reduction.
Abbas JalilvandNaomie SalimPublished in: Appl. Soft Comput. (2017)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional data
- singular value decomposition
- high dimensional problems
- high dimensional
- low dimensional
- random projections
- data mining and machine learning
- feature selection
- dimension reduction methods
- discriminative information
- variable selection
- manifold learning
- unsupervised learning
- linear discriminant analysis
- partial least squares
- feature vectors
- preprocessing step
- high dimensionality
- cluster analysis
- feature set
- dimensionality reduction
- feature space
- preprocessing
- feature subspace
- high dimensional data analysis
- database
- feature representation
- intrinsic dimension
- manifold embedding
- object recognition
- sparse metric learning