Could someone please suggest an approach to identify and count the distinct cluster segments within a cosine similarity matrix?
For the attached visualization of a matrix I would expect the count to be 8. An easy task for the human eye but seemingly exceptionally challenging to accomplish in code.
None of my attempts using scikit-learn have come even close feeling like I'm using the wrong tool for the job and would really appreciate a sanity check.
