Principal Component Analysis (PCA) is widely used in data analysis and machine learning to reduce the dimensionality of a dataset. The goal is to find a set of linearly uncorrelated (orthogonal) ...

Multispectral remote sensing of these complex, variably turbid coastal waters, provides data useful for studies of water type formation and coastal circulation processes. The Journal of Coastal ...