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Classification Analysis

2 messages · Christian Schulz, Rishabh Gupta

#
Rishabh,
Software which extract rules from data are my main "WorkingField" but
it's to bad that in present nothing rule generating algorithm (package) exist.
I do my best to get R programming skills until end2002 for my contribution in data-mining package development,because R is a great basic for this.

Some nice free-software ressources ( not R ) for this purpose are:
http://www.cs.waikato.ac.nz/ml/weka/    (look C4.5Part for rule generating)
http://fuzzy.cs.uni-magdeburg.de/~borgelt/software.html#dtree   
(that's for you probably interesting, because it's very fast C4.5 implementation and you can use in lot of way prune to
reduce the complexity 750 variables!)

http://fuzzy.cs.uni-magdeburg.de/nefclass/nefclass.html  


Or my present favorit  from J.Mortensen (it's great)  when you want analyse your data
with fuzzy strategies..........
http://inet.uni2.dk/~jemor/jfs.htm

P.S.
One question - i make electronic music with ComputerSoftware,too
and i'm statistican - what are the 750 variables and what is your classification criterium ? (if it is not a secret !)
regards,christian




Am 16.04.2002 17:13:39, schrieb "Rishabh Gupta" <rg117 at ohm.york.ac.uk>:
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#
Thanks For your reply
I would really prefer to use R as I am using R for all the other exploratory
analysis that I am doing on the data

P.S.
One question - i make electronic music with ComputerSoftware,too
and i'm statistican - what are the 750 variables and what is your
classification criterium ? (if it is not a secret !)
regards,christian

I have a large of variables (750) because I have a lot of version of each
kind of data. I analyse melody, rhythm, harmony, etc as a different stream
of data. For each one, I calculate a different versions, intervals, contour,
modulo, modulo of interval, etc. For each one of those I perform a different
kind of analysis, basic statistics, complexity measurements, etc. For each
kind of analysis there are five results each. E.g. for statistical, there is
mean, SD, MAD, COV, etc.
After performing all these different conversions/analysis I end up with
about 750 variables (6 * 5 * 5 * 5)
The classification groups are different depending on what set of MIDI files
I am analysing. In some sets the criteria is genre, subject (who played the
piece), composer, extract (which piece of music), etc.




Am 16.04.2002 17:13:39, schrieb "Rishabh Gupta" <rg117 at ohm.york.ac.uk>:
form
order
MIDI
What
.-.-
._._
____________________________________________________________________________
__
100 MB und noch mehr gute Gr?nde! Jetzt anmelden und profitieren. Da ist
mehr
f?r Sie drin unter http://club.web.de/?mc=021103



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