Explaining dimensionality reduction results using Shapley values.
Wilson Estécio Marcílio-JrDanilo Medeiros ElerPublished in: CoRR (2021)
Keyphrases
- dimensionality reduction
- data representation
- high dimensional data
- high dimensional
- principal components
- feature space
- machine learning
- parameter values
- manifold learning
- high dimensionality
- game theory
- low dimensional
- principal component analysis
- feature extraction
- feature selection
- data sets
- dimension reduction
- decision trees
- random projections
- structure preserving
- linear dimensionality reduction