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Interactive GUI for cropping background pixels from 3D hyperspectral image cubes using threshold, spatial selection, or automatic detection methods.
Sparse PCA with L1-penalized loadings for variable selection
NIPALS performs PCA on data using iterative least squares and deflation steps. It can deal with missing values.
OALS calculates the scores and loadings from data with missing values.
Iterative SVD performs iterative PCA-based imputation to handle missing data.