Dear R-helpers: I am interested in discretization methods for numerical attributes, as they are reported in the 'machine learning' community. For example, the work of Fayyad & Irani (IJCAI-93), Kononenko, entropy-based approaches, MDL principle, the C4.5 approach, etc. I am especially interested in those methods that take a factor as goal target into account for discretizing continuous-valued attributes. Is there an implementation of any one of those methods available in the many libraries available for R ? Hans Werner Borchers ABB Corporate Research -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
On Tue, 7 May 2002, Hans W. Borchers wrote:> Dear R-helpers: > > I am interested in discretization methods for numerical attributes, as they > are reported in the 'machine learning' community. For example, the work of > Fayyad & Irani (IJCAI-93), Kononenko, entropy-based approaches, MDL > principle, the C4.5 approach, etc. I am especially interested in those > methods that take a factor as goal target into account for discretizing > continuous-valued attributes. > > Is there an implementation of any one of those methods available in the > many libraries available for R ?rpart and tree, for example. -- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272860 (secr) Oxford OX1 3TG, UK Fax: +44 1865 272595 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
> >rpart and tree, for example.Yes, I know that recursive partitioning does some kind of splitting numerical variables. I looked into 'rpart.chm', but could not identify a function that I could call. What I would need is something like discretize(num.var, some.factor, method="FayyadIrani, MDL, Kononenko, C45") giving back a factor variable with selected intervals or splitting points as names. Can I extract something similar from one of the packages rpart or tree? Thanks in advance, Hans Werner Borchers. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
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