I did send to the author, but he does not reply.
Yes, I've implemented the normalization and k-means using scikit.
Can you please explain a bit about your proposed solution? It is completely
different from what I was thinking it should be.
The paper suggests to subtract the global classifier from each local
classifier (a classifier for each cluster), that is (w_cluster - w). how is
this idea induced by your suggested solution? And why do you multiply the
number of features by n_clusters+1?
Thank you for the reply Mathieu, it is appreciated!
------------------------------------------------------------------------------
The best possible search technologies are now affordable for all companies.
Download your FREE open source Enterprise Search Engine today!
Our experts will assist you in its installation for $59/mo, no commitment.
Test it for FREE on our Cloud platform anytime!
http://pubads.g.doubleclick.net/gampad/clk?id=145328191&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
