Hi Matthieu.
The release contains metric and non-metric MDS.
Details can be found here:
http://scikit-learn.org/stable/modules/manifold.html#multidimensional-scaling
I don't think the implementation includes classical MDS,
as that would be redundant, like you said.
Hope that helps,
Andy
On 09/05/2012 07:08 AM, Matthieu Brucher wrote:
Excellent work!
I have a question on MDS. Is it the classic MDS or something else?
(Asking the question as PCA is the classic MDS). It seems to be when
the distance matrix is Euclidean?
Cheers,
Matthieu
2012/9/5 Andreas Mueller <[email protected]
<mailto:[email protected]>>
Dear fellow Pythonistas.
I am pleased to announce the release of scikit-learn 0.12.
This release adds several new features, for example
multidimensional scaling (MDS), multi-task Lasso
and multi-output decision and regression forests.
There has also been a lot of progress in documentation
and ease of use.
Details can be found on the what's new
<http://scikit-learn.org/stable/whats_new.html>page.
Sources and windows binaries are available on sourceforge,
through pypi (http://pypi.python.org/pypi/scikit-learn/0.12) or
can be installed directly using pip:
pip install -U scikit-learn
I want to thank all of the developers who made this release possible
and welcome our new contributors.
Keep on learning,
Andy
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