A Behavioral Investigation of Dimensionality Reduction.
Joshua M. LewisLaurens van der MaatenVirginia R. de SaPublished in: CogSci (2012)
Keyphrases
- dimensionality reduction
- high dimensional
- principal component analysis
- high dimensional data
- low dimensional
- dimensionality reduction methods
- feature extraction
- euclidean distance
- manifold learning
- feature selection
- pattern recognition and machine learning
- lower dimensional
- preprocessing step
- data representation
- input space
- linear discriminant analysis
- random projections
- pattern recognition
- high dimensionality
- singular value decomposition
- feature space
- behavioral model
- multidimensional scaling
- structure preserving
- sparse representation
- principal components analysis
- nonlinear dimensionality reduction
- machine learning
- linear dimensionality reduction
- graph embedding
- intrinsic dimensionality
- information systems
- metric learning
- principal components