Hi groups,
I am a PhD student in Florida International University, US. I am interested
in the topic improving GMM. I draft a proposal for this topic.
https://github.com/xuewei4d/scikit-learn/wiki/GSoC-2015-Proposal:-Improve-GMM
Here are some questions I would like to discuss.
1. -1 for coreset. The paper(
http://las.ethz.ch/files/feldman11scalable-long.pdf) is new and its
citations less than 15. The application situations are on clusters,
streaming data, which is (I think) is rare for scikit-learn.
2. Currently, I have gone over the Approximation Inference chapter in PRML
(Bishop's machine learning book) and Blei's 2006 paper. But I have not dig
much into the code, so I don't have a detailed reimplement plan yet. Do I
need to add more details into the 'Theory and Implementation' part of the
proposal?
3. Any feedback is welcome.
Thanks,
Wei Xue
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