Information loss from dimensionality reduction in 5D-Gaussian spectral data.
Alexej SchelleHannes LülingPublished in: CoRR (2023)
Keyphrases
- information loss
- spectral data
- dimensionality reduction
- principal components
- principal component analysis
- feature extraction
- high dimensional
- high dimensional data
- remote sensing
- random projections
- data quality
- low dimensional
- partial least squares
- high dimensionality
- pattern recognition
- hyperspectral
- feature space
- linear discriminant analysis
- unsupervised learning
- image analysis
- data points
- data sets
- feature selection
- mass spectrometry
- dimension reduction
- multispectral
- hyperspectral images
- hyperspectral data
- computer vision