The clustering code is cimapper and cireducer. Following the clustering, there is cluster classification which is mapper only.
Not sure about the reference paper, this stuffs been around for long but the documentation for kmeans on mahout.apache.org should explain the approach. Sent from my iPhone > On Mar 15, 2014, at 5:36 PM, hiroshi leon <hiroshi_8...@hotmail.com> wrote: > > Hello Ted, > > Thank you so much for your reply, the program that I was checking is the > KMeansDriver class with the run function, > the buildCluster function in the same class and following the ClusterIterator > class with > the iterateMR function. > > I would like to know how where can I check the code that is implemented for > the mapper and the > reducer? is it in the CIMappper.class and CIReducer.class? > > Is there a research paper or pseudo-code in which Mahout parallel K-means was > based on? > > Thank you so much and have a nice day. > > Best regards > > >> From: ted.dunn...@gmail.com >> Date: Sat, 15 Mar 2014 13:56:56 -0700 >> Subject: Re: Mahout parallel K-Means - algorithms analysis >> To: user@mahout.apache.org >> >> We would love to help. >> >> Can you say which program and which classes you are looking at? >> >> >> On Sat, Mar 15, 2014 at 12:58 PM, hiroshi leon >> <hiroshi_8...@hotmail.com>wrote: >> >>> To whom it may correspond, >>> >>> Hello, I have been checking the algorithm of Mahout 0.9 version k-means >>> using MapReduce and I would like to know where can I check the code of >>> what is happening inside the map function and in the reducer? >>> >>> >>> I was debugging using NetBeans and I was not able to find what is exactly >>> implemented in the Map and Reduce functions... >>> >>> >>> >>> The reason what I am doing this is because I would like to know what >>> is exactly implemented in the version of Mahout 0.9 in order to see >>> which parts where optimized on the K-Means mapReduce algorithm. >>> >>> >>> >>> Do you know which research paper the Mahout K-means was based on or where >>> can I read the pseudo code? >>> >>> >>> >>> Thank you so much! >>> >>> >>> >>> Best regards! >>> >>> Hiroshi >
