Machine Learning in Java - Second Edition

Comparing libraries

The following table summarizes all of the presented libraries. The table is, by no means, exhaustive—there are many more libraries that cover specific problem domains. This review should serve as an overview of the big names in the Java machine learning world:

Libraries	Problem domains	License	Architecture	Algorithms
Weka	General purpose	GNU GPL	Single machine	Decision trees, Naive Bayes, neural network, random forest, AdaBoost, hierarchical clustering, and so on
Java-ML	General purpose	GNU GPL	Single machine	K-means clustering, self-organizing maps, Markov chain clustering, Cobweb, random forest, decision trees, bagging, distance measures, and so on
Mahout	Classification, recommendation ...