Hi Shashank/All, Yes you got it right, that's what I need to do. Can I get some help in this? I've no clue what it is and how to work on it.
Thanks, Aakash. On Fri, Sep 2, 2016 at 1:48 AM, Shashank Mandil <mandil.shash...@gmail.com> wrote: > Hi Aakash, > > I think what it generally means that you have to use the general spark > APIs of Dataframe to bring in the data and crunch the numbers, however you > cannot use the KMeansClustering algorithm which is already present in the > MLlib spark library. > > I think a good place to start would be understanding what the KMeans > clustering algorithm is and then looking into how you can use the DataFrame > API to implement the KMeansClustering. > > Thanks, > Shashank > > On Thu, Sep 1, 2016 at 1:05 PM, Aakash Basu <aakash.spark....@gmail.com> > wrote: > >> Hey Siva, >> >> It needs to be done with Spark, without the use of any Spark libraries. >> Need some help in this. >> >> Thanks, >> Aakash. >> >> On Fri, Sep 2, 2016 at 1:25 AM, Sivakumaran S <siva.kuma...@icloud.com> >> wrote: >> >>> If you are to do it without Spark, you are asking at the wrong place. >>> Try Python + scikit-learn. Or R. If you want to do it with a UI based >>> software, try Weka or Orange. >>> >>> Regards, >>> >>> Sivakumaran S >>> >>> On 1 Sep 2016 8:42 p.m., Aakash Basu <aakash.spark....@gmail.com> wrote: >>> >>> >>> ---------- Forwarded message ---------- >>> From: *Aakash Basu* <aakash.spark....@gmail.com> >>> Date: Thu, Aug 25, 2016 at 10:06 PM >>> Subject: Need some help >>> To: user@spark.apache.org >>> >>> >>> Hi all, >>> >>> Aakash here, need a little help in KMeans clustering. >>> >>> This is needed to be done: >>> >>> "Implement Kmeans Clustering Algorithm without using the libraries of >>> Spark. You're given a txt file with object ids and features from which you >>> have to use the features as your data points. This will be a part of the >>> code itself" >>> >>> PFA the file with ObjectIDs and features. Now how to go ahead and work >>> on it? >>> >>> Thanks, >>> Aakash. >>> >>> >>> >> >
