SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities.
Hugues Van AsselTitouan VayerRémi FlamaryNicolas CourtyPublished in: CoRR (2023)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- variable selection
- high dimensional problems
- data mining and machine learning
- pairwise
- manifold learning
- low dimensional
- high dimensional data
- feature selection
- linear discriminant analysis
- high dimensionality
- dimensionality reduction
- singular value decomposition
- unsupervised learning
- dimension reduction methods
- feature space
- partial least squares
- discriminative information
- cluster analysis
- random projections
- nearest neighbor
- active learning
- sparse metric learning