Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

You may look at weka.filters.unsupervised.attribute.Discretize to discretize an attribute independent of the class or discretize a class attribute.

Source: Weka FAQ

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