Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction.
Zhenhua ShiDongrui WuJian HuangYu-Kai WangChin-Teng LinPublished in: CoRR (2020)
Keyphrases
- dimensionality reduction
- sparse pca
- feature selection
- unsupervised learning
- semi supervised
- feature extraction
- principal component analysis
- data points
- nearest neighbor
- low dimensional
- random projections
- high dimensional data
- high dimensional
- feature space
- high dimensionality
- pattern recognition
- supervised dimensionality reduction
- supervised learning
- dimensionality reduction methods
- machine learning
- model selection
- semi supervised learning
- linear combination
- anomaly detection
- singular value decomposition
- pattern classification
- learning algorithm