Unsupervised Dimension Reduction via Least-Squares Quadratic Mutual Information.
Janya SainuiMasashi SugiyamaPublished in: IEICE Trans. Inf. Syst. (2014)
Keyphrases
- dimension reduction
- mutual information
- least squares
- singular value decomposition
- unsupervised learning
- feature selection
- information theoretic
- principal component analysis
- feature extraction
- similarity measure
- high dimensional
- image registration
- data mining and machine learning
- variable selection
- cluster analysis
- high dimensional problems
- discriminative information
- linear discriminant analysis
- random projections
- partial least squares
- manifold learning
- semi supervised
- high dimensional data
- supervised learning
- low dimensional
- feature space
- high dimensionality
- dimension reduction methods
- high dimensional data analysis
- dimensionality reduction
- optical flow
- objective function
- image processing
- k nearest neighbor
- k means
- neural network