"Why Here and Not There?" - Diverse Contrasting Explanations of Dimensionality Reduction.
André ArteltAlexander SchulzBarbara HammerPublished in: CoRR (2022)
Keyphrases
- dimensionality reduction
- high dimensional data
- high dimensional
- feature extraction
- pattern recognition
- wide variety
- low dimensional
- structure preserving
- feature selection
- principal component analysis
- data representation
- high dimensionality
- preprocessing step
- lower dimensional
- dimensionality reduction methods
- pattern recognition and machine learning
- unsupervised feature selection
- nonlinear dimensionality reduction
- linear projection
- generating explanations
- random projections
- manifold learning
- causal models
- metric learning
- principal components
- singular value decomposition
- website
- real world
- input space
- principal components analysis
- kernel learning
- data sets
- discriminant analysis
- linear discriminant analysis
- explanatory power