Local Explanation of Dimensionality Reduction.
Avraam BardosIoannis MollasNick BassiliadesGrigorios TsoumakasPublished in: CoRR (2022)
Keyphrases
- dimensionality reduction
- principal component analysis
- high dimensional
- low dimensional
- high dimensionality
- feature extraction
- pattern recognition and machine learning
- dimensionality reduction methods
- principal components
- high dimensional data
- data points
- pattern recognition
- data representation
- linear dimensionality reduction
- preprocessing step
- manifold learning
- feature space
- counter intuitive
- input space
- explanation based learning
- lower dimensional
- intrinsic dimensionality
- singular value decomposition
- linear discriminant analysis
- artificial intelligence
- dimension reduction
- diffusion maps
- feature selection
- image processing
- random projections
- principal components analysis
- nonlinear dimensionality reduction
- cost based abduction
- euclidean distance
- kernel pca
- abductive reasoning
- sparse representation
- information systems
- genetic algorithm
- real time
- causal explanation
- generating explanations
- database