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