Interpretable linear dimensionality reduction based on bias-variance analysis.
Paolo BonettiAlberto Maria MetelliMarcello RestelliPublished in: Data Min. Knowl. Discov. (2024)
Keyphrases
- linear dimensionality reduction
- bias variance analysis
- dimensionality reduction
- ensemble methods
- machine learning
- pattern classification
- component analysis
- bias variance
- learning algorithm
- principal component analysis
- low dimensional
- face recognition
- discriminant analysis
- trade off
- pattern recognition
- decision trees
- prediction accuracy
- support vector
- high dimensional data
- support vector machine
- data points
- data mining
- machine learning methods
- data analysis
- factor analysis
- feature extraction