Quantile based dimension reduction in censored regression.
Mei YanEfang KongYingcun XiaPublished in: Comput. Stat. Data Anal. (2020)
Keyphrases
- dimension reduction
- partial least squares
- survival analysis
- high dimensional
- low dimensional
- feature extraction
- principal component analysis
- regression model
- singular value decomposition
- high dimensional problems
- high dimensional data
- data mining and machine learning
- linear discriminant analysis
- variable selection
- manifold learning
- high dimensionality
- feature selection
- unsupervised learning
- dimensionality reduction
- random projections
- survival data
- discriminative information
- regression algorithm
- model selection
- feature space
- preprocessing
- support vector
- data mining
- computer vision
- cluster analysis
- pattern recognition
- text mining
- nearest neighbor
- intrinsic dimension
- manifold embedding
- high dimensional data analysis