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Dimensionality reduction using PCA

Open bkowshik opened this issue 7 years ago • 0 comments

We currently have 115 attributes for every changeset. It is practically impossible how all these features look like. But, we could use techniques of Dimensionality reduction and project them into 2 dimensions.

We have powerful Principal component analysis (PCA) as part of scikit-learn:

  • http://scikit-learn.org/stable/modules/decomposition.html

bkowshik avatar Jun 12 '17 15:06 bkowshik