<adschai <at> optonline.net> writes: > > Hi, > > I never use cobweb before and I'm quite new to this. I have a couple of questions around the cobweb > implementation in R Weka. If you could supply answer or insight, I would really appreciate. > > 1. From Fisher's paper in 1987, it seems that Cobweb only deals with nominal data. In R Weka cobweb, is it > allowed to accommodate real/continuous value? > 2. My understanding is that Cobweb clusters based on Category Utility function. However, if I would like to > specify my own objective function, how can I do so? > 3. I have about 130,000 data points (each with about 50 attributes) for training and another same amount for > testing. Would this cause any memory or performance problem? > > Thank you, > > - adschai >
RWeka is simply an interface to the WEKA data mining software. Why don't you just put your question to the Weka mailing list at https://list.scms.waikato.ac.nz/mailman/listinfo/wekalist? >From my own former experience I would say that Cobweb is never applicable to large data sets (and was not meant for that) and for numerical attributes the results are not very meaningful. Hans Werner Borchers ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
