A Functional approach for Two Way Dimension Reduction in Time Series.
Aniruddha Rajendra RaoHaiyan WangChetan GuptaPublished in: CoRR (2023)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- singular value decomposition
- data mining and machine learning
- low dimensional
- variable selection
- feature selection
- high dimensional problems
- feature space
- linear discriminant analysis
- discriminative information
- random projections
- manifold learning
- unsupervised learning
- high dimensional data
- nonlinear manifold
- partial least squares
- dimensionality reduction
- high dimensional data analysis
- cluster analysis
- high dimensionality
- preprocessing
- data mining
- neural network
- data analysis
- manifold embedding
- computer vision
- dimension reduction methods