okay :) now i use the following exsample code from here: https://github.com/apache/flink/blob/master/flink-examples/flink-java-examples/src/main/java/org/apache/flink/examples/java/clustering/KMeans.java
2015-05-11 21:56 GMT+02:00 Stephan Ewen <se...@apache.org>: > Paul! > > Can you use the KMeans example? The code is for three-dimensional points, > but you should be able to generalize it easily. > That would be the fastest way to go. without waiting for any release > dates... > > Stephan > > > On Mon, May 11, 2015 at 2:46 PM, Pa Rö <paul.roewer1...@googlemail.com> > wrote: > >> hi, >> >> now i want implement kmeans with flink, >> maybe you know a release date for flink ml kmeans? >> >> best regards >> paul >> >> 2015-04-27 9:36 GMT+02:00 Pa Rö <paul.roewer1...@googlemail.com>: >> >>> 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 >>>>>> >>>>> >>>>> >>> >> >
