Feature selection using distributions of orthogonal PLS regression vectors in spectral data.
Geonseok LeeKichun LeePublished in: BioData Min. (2021)
Keyphrases
- partial least squares
- spectral data
- feature selection
- dimension reduction
- discriminant analysis
- feature extraction
- proteomic data
- support vector
- principal component analysis
- milk powder
- mutual information
- principal components
- feature space
- high dimensional
- dimensionality reduction
- machine learning
- ls svm
- factor analysis
- feature vectors
- model selection
- low dimensional
- neural network
- linear discriminant analysis
- support vector machine
- regression model
- high quality
- image processing
- vis nir
- nearest neighbor