Functional approach for Two Way Dimension Reduction in Time Series.
Aniruddha Rajendra RaoHaiyan WangChetan GuptaPublished in: Big Data (2022)
Keyphrases
- dimension reduction
- feature extraction
- high dimensional
- principal component analysis
- high dimensional data
- low dimensional
- random projections
- singular value decomposition
- high dimensional problems
- data mining and machine learning
- variable selection
- partial least squares
- linear discriminant analysis
- dimensionality reduction
- feature space
- discriminative information
- feature selection
- dimension reduction methods
- manifold learning
- unsupervised learning
- cluster analysis
- high dimensional data analysis
- high dimensionality
- preprocessing
- nonlinear manifold
- similarity search
- image sequences
- data mining
- neural network
- data sets