Dimensionality reduction: An interpretation from manifold regularization perspective.
Mingyu FanNannan GuHong QiaoBo ZhangPublished in: Inf. Sci. (2014)
Keyphrases
- manifold regularization
- dimensionality reduction
- dimension reduction
- semi supervised learning
- semi supervised
- semi supervised classification
- low dimensional
- principal component analysis
- high dimensional data
- high dimensionality
- high dimensional
- matrix completion
- unsupervised learning
- pattern recognition
- metric learning
- singular value decomposition
- unlabeled data
- data dependent
- feature extraction
- data representation
- labeled data
- machine learning
- linear discriminant analysis
- feature selection
- supervised learning
- low rank
- collaborative filtering
- nonnegative matrix factorization
- reproducing kernel hilbert space
- nearest neighbor
- data points
- active learning