Clustering using Latent Dirichlet Allocation algo in gensim
The basic thing to understand here is that clustering requires your data to be present in a format and is not concerned with how did you arrive at your data. So, whether you apply clustering on the term-document matrix or on the reduced-dimension (LDA output matrix), clustering will work irrespective of that.
Just do the other things right though, small mistakes in data formats can cost you a lot of time of research.
Is it possible to do clustering in gensim for a given set of inputs using LDA? How can I go about it?