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Description
JProGraM is an open-source Java library which can be used for learning a number of statistical models from data, such as Bayesian networks, Markov random fields, hybrid random fields, probabilistic decision trees, dependency networks, Gaussian mixture models, Parzen windows, and Nadaraya-Watson conditional density estimators.
Along with learning algorithms, some simple inference methods are implemented by JProGraM. Principal components analysis, independent component analysis (through the FastICA library), and (to some extent) data clustering are also supported.
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