No. Sent from my phone. Please forgive typos and briefness.
On Jul 26, 2018, 07:28, at 07:28, Raphael C <drr...@gmail.com> wrote: >Is it expected that all three linkages options should give the same >result >in my toy example? > >Raphael > >On Thu, 26 Jul 2018 at 06:20 Gael Varoquaux ><gael.varoqu...@normalesup.org> >wrote: > >> FeatureAgglomeration uses the Ward, complete linkage, or average >linkage, >> algorithms, depending on the choice of "linkage". These are well >> documented in the literature, or on wikipedia. >> >> Gaël >> >> On Thu, Jul 26, 2018 at 06:05:21AM +0100, Raphael C wrote: >> > Hi, >> >> > I am trying to work out what, in precise mathematical terms, >> > [FeatureAgglomeration][1] does and would love some help. Here is >some >> example >> > code: >> >> >> > import numpy as np >> > from sklearn.cluster import FeatureAgglomeration >> > for S in ['ward', 'average', 'complete']: >> > FA = FeatureAgglomeration(linkage=S) >> > print(FA.fit_transform(np.array([[-50,6,6,7,], >[0,1,2,3]]))) >> >> > This outputs: >> >> > >> >> > [[ 6.33333333 -50. ] >> > [ 2. 0. ]] >> > [[ 6.33333333 -50. ] >> > [ 2. 0. ]] >> > [[ 6.33333333 -50. ] >> > [ 2. 0. ]] >> >> > Is it possible to say mathematically how these values have been >computed? >> >> > Also, what exactly does linkage do and why doesn't it seem to make >any >> > difference which option you choose? >> >> > Raphael >> >> >> > [1]: http://scikit-learn.org/stable/modules/generated/ >> > sklearn.cluster.FeatureAgglomeration.html >> >> > PS I also asked at >> > https://stackoverflow.com/questions/51526616/ >> > >> >what-does-featureagglomeration-compute-mathematically-and-when-does-linkage-make >> >> >> > _______________________________________________ >> > scikit-learn mailing list >> > scikit-learn@python.org >> > https://mail.python.org/mailman/listinfo/scikit-learn >> >> >> -- >> Gael Varoquaux >> Senior Researcher, INRIA Parietal >> NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France >> Phone: ++ 33-1-69-08-79-68 >> http://gael-varoquaux.info >http://twitter.com/GaelVaroquaux >> _______________________________________________ >> scikit-learn mailing list >> scikit-learn@python.org >> https://mail.python.org/mailman/listinfo/scikit-learn >> > > >------------------------------------------------------------------------ > >_______________________________________________ >scikit-learn mailing list >scikit-learn@python.org >https://mail.python.org/mailman/listinfo/scikit-learn
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