Introduction - If you have any usage issues, please Google them yourself
In hyperspectral image processing and analysis, principal component analysis is the most widely used linear dimensionality reduction methods, it is conceptually simple and efficient algorithm " in signal processing, the so-called Karl blood nen.b Farm ve actually transform is the principal component analysis