Sparse sliced inverse regression for high dimensional data analysis.
Haileab HilafuSandra E. SafoPublished in: BMC Bioinform. (2022)
Keyphrases
- high dimensional data analysis
- high dimensional
- dimension reduction
- preprocessing step
- regression model
- face recognition
- multimodal data
- low dimensional
- partial least squares
- high dimensional data
- random projections
- support vector
- variable selection
- linear regression
- regression algorithm
- support vector regression
- sparse coding
- model selection
- dimensionality reduction
- machine learning
- similarity search
- dimensionality reduction methods
- semi supervised
- preprocessing
- regression method
- least squares
- nearest neighbor