Efficient Comprehensive Element Identification in Large Scale Spectral Analysis with Interpretable Dimension Reduction.
Xiang XieWilhelm StorkPublished in: Big Data (2022)
Keyphrases
- dimension reduction
- spectral analysis
- principal component analysis
- low dimensional
- manifold learning
- real world
- high dimensional problems
- high dimensional data
- high dimensional
- unsupervised learning
- linear discriminant analysis
- feature extraction
- dimensionality reduction
- preprocessing
- neural network
- feature space
- singular value decomposition
- high dimensionality
- image data
- signal processing
- decision trees