Apache Mahout is described as 'Apache project to produce free implementations of distributed or otherwise scalable machine learning algorithms on the Hadoop platform. Mahout work in progress; the number of implemented algorithms has grown quickly, but there are still various' and is a Data Mining software in the business & commerce category. There are four alternatives to Apache Mahout for Mac, Windows, Linux, BSD and Self-Hosted. The best Apache Mahout alternative is WEKA, which is both free and Open Source. Other great apps like Apache Mahout are KEEL, SIMON and ELKI.
Weka is a collection of machine learning algorithms for data mining tasks; with its own GUI.
WEKA is the most popular Windows, Mac & Linux alternative to Apache Mahout.
WEKA is the most popular Open Source & free alternative to Apache Mahout.
KEEL is an open source (GPLv3) Java software tool to assess evolutionary algorithms for Data Mining problems including regression, classification, clustering, pattern mining and so on. It contains a big collection of classical knowledge extraction algorithms, preprocessing...
SIMON is a powerful, flexible, open-source and easy to use knowledge discovery application. SIMON implements machine learning (autoML) and statistical data discovery features that will help you to illustrate dynamic relationships and provide you with a structural sense of your...
SIMON is the most popular Self-Hosted alternative to Apache Mahout.
ELKI: "Environment for Developing KDD-Applications Supported by Index-Structures" is a development framework for data mining algorithms written in Java. It includes a large variety of popular data mining algorithms, distance functions and index structures.
