Mahout Samsara is more about rolling your own algo, though it has already implemented several as examples. If you want to build your own clustering you will find a lot of what you need in the R-like DSL.
But if you want something already built you may want to look at Spark’s MLlib kmeans. People often ask; what is the difference between Mahout and MLlib? MLlib is a collection of algos, Mahout is an optimized tensor math engine with many extensions and several algos. You can’t do the matrix A’B in MLlib because it’s not an algo, it’s a bit of math—a very useful bit. On May 23, 2016, at 8:10 PM, FRANCISCO XAVIER SUMBA TORAL <xavier.sumb...@ucuenca.ec> wrote: Hi Dmitriy, Thanks for your clarification. Cheers. > On May 23, 2016, at 12:00, Dmitriy Lyubimov <dlie...@gmail.com> wrote: > > Xavier, > there are no exact equivalents in public domain to algorithms existed for > MR clustering as of yet. My understanding some of them are on the roadmap > though. > > depending on the level of sophistication you require, some of them are very > easy to build though. > > On Sat, May 21, 2016 at 8:46 PM, FRANCISCO XAVIER SUMBA TORAL < > xavier.sumb...@ucuenca.ec> wrote: > >> Hi, >> >> Since clustering algorithms are deprecated in mahout samsara. How can I >> make use of mahout to run a clustering algorithm. Basically, I use mahout >> to cluster paper's keywords. I take a bunch of keywords and I cluster them >> to find groups of related keywords. How can I update my code to mahout >> samsara any suggestion? >> >> Cheers >>
