Hi Giuseppe,
Is there a specific highly-cited reference for these methods. I did a
quick search on Google scholar, and it seemed that I could mostly find
them used in chemistry.
Cheers,
Gaël
On Tue, Aug 19, 2014 at 12:05:13PM +0200, Giuseppe Marco Randazzo wrote:
> Hello,
> i'm interested to contribute in scikit learn implementing some
> algorithms to make an optimal selection of objects in a N-dimensional
> space. These techniques are used when sampling is needed in large data
> and when the sampling must be done with a specifi criterion:
> - Most Descriptive Compound: The aim of this algorithm is to select a
> subset of compounds which most effectively represents the compounds in
> the original population[Hudson, B; Quantitative Structure-Activity
> Relationships 1996, 15, 285]
> - Dissimilarity Selection: The aim of this algorithm is to select a
> subset of compounds which are really different each others [Lajiness, M;
> Perspectives in Drug Discovery and Design 1997, 7(8), 65].
> - others....
> I can implement the Dissimilarity Selection, the Most Descriptive
> Compound for the moment. Maybe lather other algorithms.
> Are you intrested?
> Giuseppe Marco Randazzo
--
Gael Varoquaux
Researcher, INRIA Parietal
Laboratoire de Neuro-Imagerie Assistee par Ordinateur
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
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