What is the best package of data discretization?

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Michael Theobald

I have not used Matlab, however the following Weka command-line invocation worked for me to discretize the iris data set as a test case.

java -cp jars/weka.jar weka.filters.supervised.attribute.Discretize -i data/iris.arff -o iris-nom.arff -c last

I have stored the weka.jar in a jars/directory using Mac OSX and loaded it via the java classpath option (-cp) in the above command. The arules (association rules) package in R allows R users access to some Weka-like functionality. This package contains the arules::discretize() function that may work for you in R.

Omar Salem

Michael Theobald Habib M. N. Ahmad Thank you for your useful comments and suggestions.

I recommend KEEL software tool, it includes 30 discretization algorithms

http://www.keel.es/