Hi Alexander and Till, thanks for your informations, I look forward to the release. I'm curious how well is flink ml against mahout und spark ml.
best regerds Paul 2015-04-27 9:23 GMT+02:00 Till Rohrmann <trohrm...@apache.org>: > Hi Paul, > > if you can't wait, a vanilla implementation is already contained as part > of the Flink examples. You should find it under flink/flink-examples. > > But we will try to add more clustering algorithms in the near future. > > Cheers, > Till > On Apr 26, 2015 11:14 PM, "Alexander Alexandrov" < > alexander.s.alexand...@gmail.com> wrote: > >> Yes, I expect to have one in the next few weeks (the code is actually >> there, but we need to port it to the Flink ML API). I suggest to follow the >> JIRA issue in the next weeks to check when this is done: >> >> https://issues.apache.org/jira/browse/FLINK-1731 >> >> Regards, >> Alexander >> >> PS. Bear in mind that we will start with a vanilla implementation of >> K-Means. For a thorough evaluation you might want to also check variants >> like K-Means++. >> >> >> 2015-04-24 15:08 GMT+02:00 Pa Rö <paul.roewer1...@googlemail.com>: >> >>> hi flink community, >>> >>> at the time I write my master thesis in the field machine learning. My >>> main task is to evaluated different k-means variants for large data sets >>> (BigData). I would like test flink ml against Apache Mahout and Apache >>> Hadoop MapReduce in areas of scalability and performance(time and space). >>> What is the current state for the purpose of clustering, especially >>> K-Means? Will there be in the near future a release information this? >>> >>> best greetings >>> paul >>> >> >>
