"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction.
André ArteltAlexander SchulzBarbara HammerPublished in: ICPRAM (2023)
Keyphrases
- dimensionality reduction
- high dimensionality
- principal component analysis
- high dimensional
- data representation
- high dimensional data
- wide variety
- pattern recognition and machine learning
- feature extraction
- low dimensional
- feature selection
- principal components
- data points
- pattern recognition
- linear dimensionality reduction
- structure preserving
- manifold learning
- euclidean distance
- metric learning
- dimensionality reduction methods
- locally linear embedding
- generating explanations
- rich set
- principal components analysis
- input space
- kernel learning
- random projections
- multidimensional scaling
- preprocessing step
- nonlinear dimensionality reduction
- intrinsic dimensionality
- dimension reduction
- diffusion maps
- feature space
- linear projection
- website
- real world