Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach.
Emily Chia-Yu SuHan-Ming WuPublished in: Comput. Stat. (2024)
Keyphrases
- dimension reduction
- high dimensional
- low dimensional
- principal component analysis
- feature extraction
- symbolic data analysis
- manifold learning
- high dimensional problems
- singular value decomposition
- cluster analysis
- feature selection
- high dimensional data
- feature space
- high dimensionality
- data analysis
- unsupervised learning
- linear discriminant analysis
- preprocessing
- real world
- data points
- pattern recognition
- generative topographic mapping