[SciPy-User] multi-dimensional scaling

[Nelle Varoquaux]

> > I'm looking in scipy for something to perform multi-dimensional
> > scaling*. I don't see anything - have I missed it? Is it easy to make it
> > from scipy components?
> >
> > Thanks
> > Dan
> >
> > * http://en.wikipedia.org/wiki/Multidimensional_scaling
>
>
> MDS is more a class of approaches than a specific algorithm. If you want
> to do "classic" MDS with euclidian distances as the metric, then you would
> use PCA to implement that:
>
> http://stats.stackexchange.com/questions/14002/whats-the-difference-between-principal-components-analysis-and-multidimensional
>
> And PCA is just a simple eigendecomposition that you can build from the
> basic linear algebra tools in numpy. I'm happy to send over the short
> wrapper code I wrote to do "PCA" on data in a vaguely smart way, if you
> want.
>

There are both the classical MDS (smacof algorithm) and NMDS (non metric)
in scikit-learn (and PCA :) ).
Cheers,
N


>
> Zach
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