Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation.
Junyoung ParkJeongyoun AhnCheolwoo ParkPublished in: ICML (2023)
Keyphrases
- dimension reduction
- variable selection
- input variables
- high dimensional data
- high dimensional
- data sets
- cross validation
- data sources
- high dimensional data analysis
- principal component analysis
- image data
- knowledge discovery
- dimensionality reduction
- data points
- cluster analysis
- training data
- feature extraction
- random projections
- database
- data mining techniques
- model selection
- artificial neural networks
- singular value decomposition
- data mining