You probably want to tweak the value of alpha to be higher than what you
used (0.1). Changing the scale of the features (multiplying the X matrix by
a number larger than 1) might also help.
On Wed, Aug 28, 2013 at 7:32 AM, linxpwww <[email protected]> wrote:
> Hi guys,
> I want to use dpgmm model for clustering topics. Each row is a document in
> my test.dat file.
> I have attached the gmm_cluster.py python code, using './gmm_cluster.py
> 50' (50 means reduction dimension) to run, the code read docs from test.dat.
> I found the predicted result of the train set is all same label number. Is
> there anything wrong by using DPGMM(or VBGMM) model?
>
> Thanks for your help in advance.
>
> Aaron Lin
>
>
>
>
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--
- Alexandre
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