Sufficient dimension reduction using Hilbert-Schmidt independence criterion.
Yuan XueNan ZhangXiangrong YinHaitao ZhengPublished in: Comput. Stat. Data Anal. (2017)
Keyphrases
- dimension reduction
- hilbert schmidt independence criterion
- feature selection
- feature space
- principal component analysis
- low dimensional
- feature extraction
- high dimensionality
- high dimensional
- linear discriminant analysis
- variable selection
- high dimensional data
- dimensionality reduction
- cluster analysis
- singular value decomposition
- data sets
- unsupervised learning
- feature vectors
- object recognition
- microarray
- svm classifier
- data points
- input space
- pattern recognition