A co-kurtosis based dimensionality reduction method for combustion datasets

Enhancing grain drying methods with hyperspectral imaging technology: A visualanalysis

“…Principal component analysis (PCA) is a widely used method for dimensionality reduction and is recommended to minimize the amount of data required and computation time ( Jonnalagadda et al, 2023 ). In this study, PCA was used to extract spectral features from hyperspectral images obtained.…”