Re: [pgsql-advocacy] Call for Google Summer of Code mentors, admins

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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