Sparse regression techniques in low-dimensional survival data settings.
Christine PorzeliusMartin SchumacherHarald BinderPublished in: Stat. Comput. (2010)
Keyphrases
- low dimensional
- sparse regression
- survival data
- high dimensional data
- feature selection and classification
- high dimensional
- low rank
- dimensionality reduction
- high dimensionality
- manifold learning
- linear regression
- principal component analysis
- dimension reduction
- data points
- clinical data
- euclidean space
- feature space
- survival analysis
- neural network
- nearest neighbor
- prostate cancer
- feature ranking
- sparse matrix
- image processing
- feature selection