On 5 September 2012 08:08, Matthieu Brucher <[email protected]>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?
>
It is indeed the classical MDS. When the whole similarity matrix, indeed,
the classical MDS is equivalent to a PCA. But when there a missing values,
PCA don't work.
An improvement to do to the current implementation is to use the PCA when
the whole matrix is provided. That should speed it up a lot.
Cheers,
N
>
> Cheers,
>
> Matthieu
>
> 2012/9/5 Andreas Mueller <[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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>
>
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