From: | Atri Sharma <atri(dot)jiit(at)gmail(dot)com> |
---|---|
To: | Josh Berkus <josh(at)agliodbs(dot)com> |
Cc: | Heikki Linnakangas <hlinnakangas(at)vmware(dot)com>, Sîrbu Nicolae-Cezar <sirbunicolaecezar(at)gmail(dot)com>, Dimitri Fontaine <dimitri(at)2ndquadrant(dot)fr>, Alvaro Herrera <alvherre(at)2ndquadrant(dot)com>, PostgreSQL Advocacy <pgsql-advocacy(at)postgresql(dot)org>, PostgreSQL-development <pgsql-hackers(at)postgresql(dot)org> |
Subject: | Re: [pgsql-advocacy] Call for Google Summer of Code mentors, admins |
Date: | 2013-02-24 06:38:30 |
Message-ID: | CAOeZVicpvzDBa9ToMfGaFG4MK+jopTWSH-79K2XnPf5n1sCQeA@mail.gmail.com |
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> Take a look at MADLib. My suggestion would be extending the MADlib
> functions; there's plenty of unimplemented ML algrothims which could be
> added to it.
I went through the MADLib library and came up with the following two
ideas which I feel could be potential GSoC 2013 projects:
1) MADlib currently has K-means clustering implemented.I would suggest
implementing the K-medoids clustering as it has better performance as
compared to K-means clustering.We could use k-means clustering code
base as the starting point for our implementation.
2) A more complex project would be to implement backpropogation
algorithm for much better classification. This would require
implementing some parts of neural network algorithms as well.
Again, I am willing to mentor either of the two projects if they are taken.
Regards,
Atri
--
Regards,
Atri
l'apprenant
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