art experimenting with providing a [math]-based implementation of
> some part of the spec.
>
> Phil
>
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> F
> >
> >
> >
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On 8/30/05, Phil Steitz <[EMAIL PROTECTED]> wrote:
>
> On 8/29/05, John Gant <[EMAIL PROTECTED]> wrote:
> >
> > Wondering if my next step is to implement the ranking algorithms in R?
>
>
> Don't know exactly what you mean here. If you mean implement
c2/RELEASE-NOTES.txt
>
> Votes, please. The vote will run for 72 hours.
>
> --8<-
>
> [ ] +1 Release Math 1.1
> [ ] +0 General support but not definitive
> [ ] -0 Unhappy about the release but not definitive
> [ ] -1 Do not release Math 1.1
>
>
> Thanks!
>
> Phil
>
>
--
John Gant
ncorrect please reply so that I do not
implement K-means, or other clustering algorithms who use a distance
measurement, in the same manner.
Thanks,
John
On 8/24/05, John Gant <[EMAIL PROTECTED]> wrote:
> > Copied from the mailing list:
> > - Original Message -
> Copied from the mailing list:
> - Original Message -
> From: "John Gant" <[EMAIL PROTECTED]>
> >
> > Specifically testTwo() in
> > http://issues.apache.org/bugzilla/attachment.cgi?id=3D16172 takes care
> > of data with equal value (ie
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John Gant
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What exactly does "column-wise" mean. This just looks like Pearson's
> R, which is already available in the SimpleRegression class. Do you
> mean generation of correlation matrices?
Sorry, I should have been more specific. This will allow someone to
calculate the pearson r coefficient between c
http://issues.apache.org/bugzilla/show_bug.cgi?id=36308
The link above is to the initial pearson cross correlation source, and
took it upon myself to create a package (but feel free to change).
Please review and comment.
Thanks Again,
Sorry for the delay,
John Gant
Sorry for the late link to code, and paper. Please note that this code
is not in a form that I would even think about commiting. I plan to
restructure all of the code and add unit tests, including all
algorithms. The best way to describe the current code is 'student
form', meaning there are file lo
IP stuff:
I will send out a link to the pdf that describes KMotif, and the cross
correlation comes from
http://mathworld.wolfram.com/CorrelationCoefficient.html with an
implementation that correlates column-wise. Both euclidean and
city-block distance measures come from basic data mining textbooks
I will, later this evening, reply with the resources I used to create
the software. When I mentioned textbook, I meant that I used the
pseudocode as a guideline for development. None of the software I
use/or have used was a direct copy from a book like Numerical Recipes,
due to my need to customize
ction to [math].
>
> John, do you have any documentation for you functions (I mean links to
> some papers where the function is described)? I am not [math] commiter
> but I am interested in your stuff. Is there any link where I could
> download your code?
>
> Regards,
> Lukas
>
ed yet and still needs more tuning but I hope to finish
> it soon and see if it is helpful to other people.
>
> Regards,
> Lukas
>
>
> On 8/14/05, John Gant <[EMAIL PROTECTED]> wrote:
> > Algorithms:
> >
> > - Feature reduction
> > a. Basic cross
her 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
anyone is interested we can continue this thread and I
will email my code, and purpose my new algorithms.
John Gant
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