Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, featureselection, regression, data pre-processing, ensemble learning, voting, ...
DimReduction project provide an open-source multiplatform (Java) graphical environment for bioinformatics problems that supports many featureselection algorithms, pattern recognition techniques, criterion functions and graphic visualization tools.
Java GUI to analyze one (or more, in batch mode) datasets with several featureselection methods at the same time and also performing an "ensemble" analysis. It can be easily extended to include any featureselection algorithm.
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Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for featureselection. WEKA 3 interfaces are in development.