The principal component analysis (PCA) is a kind of algorithms in biometrics. It is a statistics technical and used orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables. PCA also is a tool to reduce multid...
Research Assistant
AI chat, annotations, notes & similar papers
No comments yet
Be the first to share your thoughts!