Dillon and Goldstein (1984) provide the following formal definition of principal components analysis (PCA): Principal components analysis transforms the original set of variables into a smaller set of ...

Principal component analysis (PCA) is a mathematical algorithm ... the eigengenes are eigenvectors to the covariance matrix of the samples. So far we have used data for only two genes to ...

This year is the centennial anniversary of German psychiatrist Hans Berger's invention of electroencephalography (EEG), a way ...