Sufficient dimension reduction for classification using principal optimal transport direction.
Cheng MengJun YuJingyi ZhangPing MaWenxuan ZhongPublished in: CoRR (2020)
Keyphrases
- dimension reduction
- feature extraction
- feature selection
- principal component analysis
- variable selection
- data mining and machine learning
- high dimensional problems
- low dimensional
- feature space
- linear discriminant analysis
- high dimensional
- singular value decomposition
- discriminative information
- high dimensionality
- cluster analysis
- high dimensional data
- feature construction
- manifold learning
- unsupervised learning
- feature subspace
- random projections
- partial least squares
- training set
- preprocessing
- machine learning
- principle component analysis
- high dimensional data analysis
- support vector machine
- pattern recognition
- learning algorithm
- data mining
- support vector machine svm
- text classification
- image classification
- face recognition
- image sequences
- computer vision
- manifold embedding
- neural network