Is there a way to choose the number of reduced dimensions d where d<D and D is the number of original dimensions in the original dataset? I'm trying to use t
I saw this tutorial in R w/ autoplot. They plotted the loadings and loading labels: autoplot(prcomp(df), data = iris, colour = 'Species', loadings =
I often have truly large data frames (ie 10 to 40 columns, millions to hundreds of millions of rows) that I would like to perform dimensionality reduction on in