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Message-ID: <8a81b4af05081518033d60365d@mail.gmail.com>
Date: Mon, 15 Aug 2005 18:03:50 -0700
From: Phil Steitz <phil.steitz@gmail.com>
To: Jakarta Commons Developers List <commons-dev@jakarta.apache.org>
Subject: Re: [math] Re: commons math
In-Reply-To: <f9f8755405081316291b1d0469@mail.gmail.com>
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References: <f9f87554050813090173efafe2@mail.gmail.com>
	 <8a81b4af05081315277bdb5ac5@mail.gmail.com>
	 <f9f8755405081316291b1d0469@mail.gmail.com>

On 8/13/05, John Gant <john.gant@gmail.com> wrote:
> Algorithms:
>=20
> - Feature reduction
> a. Basic cross correlation, including both spearman and pearson cross
> correlation algorithms.
> b. Principal Component Analysis.
> c. Entropy Based reduction.

All good, IMHO, esp. a. and b.
>=20
> I currently have a, and b finished but need to brush up on my junit skill=
s :)
>=20
> -Difference Measures
> I had in mind a difference engine, basically an engine that handles
> all difference operations. This difference engine could, in the
> constructor or using set methods, take an instance of one of the
> following difference methods.
>=20
> a. euclidean distance
> b. city-block distance

Can you describe a little more exactly what you mean here and how it
would be used?
>=20
> -Pattern Discovery
> a. KMotif Discovery Algorithm.

I am not familiar with this algorithm or its uses. Can you provide
some more info and references?
>=20
> Again I have this algorithm completed, just need to boundary test everyth=
ing.
>=20
> -Clustering Algorithms
> a. K-means Algorithm.

+1
>=20
> I'd like to discuss the architecture of the k-means, I have a few
> ideas and would like a little feedback. I know this is just a small
> subset of the available algorithms, but this seems to be a good start.

Yes.  Ask away...
>=20
> Thanks,
> John
>=20
> On 8/13/05, Phil Steitz <phil.steitz@gmail.com> wrote:
> > John,
> >
> > Sounds great!  Extending the stat package to include some data mining
> > capabilities would be a good and useful addition to commons-math,
> > IMHO.  To get started, the first thing to do is to read the
> > developer's guide
> > (http://jakarta.apache.org/commons/math/developers.html), which will
> > tell point you to the general apache references and go over some IP
> > stuff that we have to worry about in [math].
> >
> > Then either here or on the Wiki (see the guide for a link), post a
> > brief description of the kinds of mining algorithms that you are
> > interested in developing and we can get this going. On this list, pls
> > begin the subject line of all [math] messages with [math].
> >
> > Thanks in advance for your contributions!
> >
> > Phil
> >
> > On 8/13/05, John Gant <john.gant@gmail.com> wrote:
> > > Hello,
> > > I am currently a graduate student in Computer Science and Computer
> > > Engineering at the University of Louisville, Kentucky. First let me
> > > congratulate the group of developers who commit and architect for
> > > apache commons. I have used many of the libraries and they are all of
> > > excellent quality (but I guess you already know that :)). I am
> > > interested in contributing to open source software and have interests
> > > that are in the domain of statistics with a focus in data mining.
> > > After writing many algorithms for classes, and asking an apache
> > > contributor if any of this would be needed elsewhere, he told me to
> > > purpose something to the dev list. So here it goes, I would like to
> > > help start a data mining section of commons math and advance the
> > > existing statistical libraries. I plan on developing the algorithms
> > > for personal use anyway, and would like to see some of my work be use=
d
> > > by others. If anyone is interested we can continue this thread and I
> > > will email my code, and purpose my new algorithms.
> > >
> > >
> > > John Gant
> > >
> > > ---------------------------------------------------------------------
> > > To unsubscribe, e-mail: commons-dev-unsubscribe@jakarta.apache.org
> > > For additional commands, e-mail: commons-dev-help@jakarta.apache.org
> > >
> > >
> >
> > ---------------------------------------------------------------------
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> >
> >
>=20
>=20
> --
> John Gant
>=20
> ---------------------------------------------------------------------
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>=20
>

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