From the post:
Mahout is a set of libraries for running machine learning processes, such as recommendation, clustering and categorisation.
The libraries work against an abstract model that can be anything from a file to a full Hadoop cluster. This means you can start playing around with small data sets in files, a local database, a Hadoop cluster or a custom data store.
After a bit of research, it turned out not to be too complex to call via any JVM language. When you compile and install Mahout, the libraries are installed into your local Maven cache. This makes it very easy to include them into any JVM type project.
Concludes with two interesting references:
[…] Calling Mahout from Clojure « Another Word For It Calling Mahout from Clojure. From the post: Mahout is a set of libraries for running machine learning processes, such as recommendation, clustering and categorisation. The libraries work against an abstract model that … Source: tm.durusau.net […]
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