Dimension Selection for Feature Selection and Dimension Reduction with Principal and Independent Component Analysis.
Inge KochKanta NaitoPublished in: Neural Comput. (2007)
Keyphrases
- dimension reduction
- independent component analysis
- principal component analysis
- feature selection
- feature extraction
- dimensionality reduction
- principle component analysis
- independent components
- intrinsic dimension
- low dimensional
- factor analysis
- feature space
- random projections
- high dimensionality
- blind source separation
- linear discriminant analysis
- variable selection
- face recognition
- singular value decomposition
- high dimensional
- principal components
- discriminant analysis
- classification accuracy
- high dimensional data
- face images
- unsupervised learning
- computer vision
- text classification
- semi supervised