[R] Classification Analysis
ozric at web.de
Wed Apr 17 08:43:39 CEST 2002
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)
(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!)
Or my present favorit from J.Mortensen (it's great) when you want analyse your data
with fuzzy strategies..........
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 !)
Am 16.04.2002 17:13:39, schrieb "Rishabh Gupta" <rg117 at ohm.york.ac.uk>:
> Could somebody explain to me what is the package/function for
>classification analysis. I am performing analysis of music files in the form
>of MIDI files. I end up with about 750 dependent variables from the
>analysis, I also have a number of independent/grouping variables that I set
>manually. What I would like is to be able to predict which group a
>particular MIDI files belongs to given the 750 dependent variables. In order
>to this I have to perform classification analysis on a sample set of MIDI
>files where I know what group they belong to. I want to extract the
>'classification rule' that would enable me to predict the group of each MIDI
>file (there would be a different classification rule for each grouping
>variable). Can anybody explain what is the best way of doing this in R. What
>is the best package/function that would enable me to perform classification
>Any help would be greatly appreciated.
>Many Thanks For Your Help!
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