Classification Analysis
----- Original Message ----- From: <ozric at web.de> To: "Rishabh Gupta" <rg117 at ohm.york.ac.uk> Cc: <r-help at hypatia.math.ethz.ch> Sent: Wednesday, April 17, 2002 3:54 PM Subject: Re: [R] Classification Analysis really interesting! is there some url/docs for more information or are this your own thoughts - maybe for Ph.D thesis ? Am 17.04.2002 15:22:08, schrieb "Rishabh Gupta" <rg117 at ohm.york.ac.uk>:
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 In my humble opinion in R the package(Rpart) is good starting point for this, but in fact you get no really rules. The result are more sub-segmentation's which habit different with the classification (dependent) variable. But you can formulate rules on the basis of the results in a sophisticated way.......... regards,christian Thanks! It is for a PhD, but to this point I am still trying prove/disprove so there is not documentation. That's why I need to get to grips with the statistical analysis system.
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.
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