Random Jungle is a fast implementation of Random Forests (TM) for high dimensional data and it is for free.
In genetics, it can be used for analysing big Genome Wide Association (GWA) data. Random Forests (TM) is a powerful machine learning method. Most interesting features are variable selection, missing value imputation, classifier creation, generalization error estimation and sample proximities between pairs of cases. Random Jungle is mostly compatible with the Linux and Windows.
