An Exploratory Study on Hindcasting with Analogue Ensembles of Principal Components.
Carlos BalsaMurilo M. BreveCarlos Veiga RodriguesLuís S. CostaJosé RufinoPublished in: ARTIIS (1) (2022)
Keyphrases
- principal components
- principal component analysis
- multivariate data
- dimensionality reduction
- principal components analysis
- ensemble learning
- hyperplane
- ensemble methods
- correlation coefficient
- principal component regression
- literature review
- feature set
- spectral data
- decision trees
- independent components
- kernel space
- pattern recognition
- image processing
- feature selection
- machine learning
- kernel principal component analysis
- data sets