The k-means algorithms tries to group the points, but how can we know to which group a point has been assigned? What I mean is that, on the output, I would like to color the points with the same color as the centroid they "depend" on.
And another question, which I thought could be related to the first one, is why does the algorithms returns the objective function? What's its use?
On Sat, Apr 20, 2013 at 7:31 PM, Maxence AHLOUCHE <maxence.ahlouche@gmail.com> wrote: > > > > 2013/4/20 Atri Sharma <atri.jiit@gmail.com> >> >> Very interesting! The results look encouraging,although this is on Python >> :) >> >> Good work! >> >> Regards, >> >> Atri > > > Thanks :) > But do you know if there is a way to know the cluster that a point has been > assigned to? Can the objective function have something to do with it? I > haven't understood why it was returned yet!
I didnt get your question. Could you please elaborate a bit more?
