Variable selection via combined penalization for high-dimensional data analysis.
Xiaoming WangTaesung ParkK. C. CarrierePublished in: Comput. Stat. Data Anal. (2010)
Keyphrases
- variable selection
- high dimensional data analysis
- dimension reduction
- high dimensional
- cross validation
- input variables
- linear models
- model selection
- high dimensional data
- feature selection
- ls svm
- principal component analysis
- dimensionality reduction
- sparse representation
- neural network
- cluster analysis
- face recognition
- preprocessing step
- random projections
- multimodal data
- data mining