On Tue, Apr 26, 2011 at 2:08 PM, Ted Dunning <[email protected]> wrote: > > - LDA isn't really clustering. It is more along the lines of SVD as a > dimensionality reduction. It should > be possible to display the internals to find which terms or documents have > the highest components on > a single topic, but combinations of topics are still interesting in LDA > just > as combinations of coordinates > in SVD are interesting. >
Ted, I think what they are asking is for the output of the gamma matrix (i.e. the LDA version of the *left* singular vectors, living in document-by-topic-space, not topic-by-word space), which is currently not produced (not even on trunk, iirc). -jake
