On cross-distance selection algorithm for hybrid sufficient dimension reduction.
Yujin ParkKyongwon KimJae Keun YooPublished in: Comput. Stat. Data Anal. (2022)
Keyphrases
- dimension reduction
- selection algorithm
- principal component analysis
- feature extraction
- intrinsic dimension
- prototype selection
- high dimensional
- high dimensional problems
- cluster analysis
- feature selection
- high dimensional data
- low dimensional
- variable selection
- manifold learning
- linear discriminant analysis
- singular value decomposition
- unsupervised learning
- search algorithm
- distance measure
- euclidean distance
- high dimensionality
- feature space
- feature subset
- dimensionality reduction
- dimension reduction methods
- machine learning
- distance function
- qr decomposition
- neural network
- sparse metric learning
- distance metric
- semi supervised
- data points
- preprocessing
- genetic algorithm
- data mining