Dimension Reduction Based on Sampling.
Zhuping LiDonghua YangMengmeng LiHaifeng GuoTiansheng YeHongzhi WangPublished in: ICPCSEE (1) (2023)
Keyphrases
- dimension reduction
- feature extraction
- principal component analysis
- high dimensional problems
- singular value decomposition
- feature selection
- high dimensional data
- high dimensional
- data mining and machine learning
- variable selection
- linear discriminant analysis
- high dimensionality
- dimensionality reduction
- manifold learning
- feature space
- cluster analysis
- random sampling
- random projections
- low dimensional
- partial least squares
- unsupervised learning
- preprocessing
- high dimensional data analysis
- sample size
- probabilistic model
- pairwise
- support vector