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