The new Ball k-means and streaming k-means implementations have non-Hadoop versions. The streaming k-means implementation also has a threaded implementation that runs without Hadoop.
The threaded streaming k-means implementation should be pretty fast. On Sun, Dec 1, 2013 at 7:55 PM, Shan Lu <shanlu...@gmail.com> wrote: > Thanks, Suneel, I'll try this way. > > In this recommender example: > > https://github.com/ManuelB/facebook-recommender-demo/blob/master/src/main/java/de/apaxo/bedcon/AnimalFoodRecommender.java#L142 > , > > they only use mahout api. So I am thinking that can I do the clustering > similarly. > > > On Sun, Dec 1, 2013 at 10:42 PM, Suneel Marthi <suneel_mar...@yahoo.com > >wrote: > > > Shan, > > > > All of Mahout implementations use Hadoop API, but if u r trying to run > > kmeans in sequential (non-MapReduce) mode; pass in runSequential = true > > instead of false as the last parameter to KMeansDriver.run() or Amit run > > them in LOCAL_MODE as pointed out earlier by Amit. > > > > > > > > > > > > > > > > On Sunday, December 1, 2013 10:28 PM, Shan Lu <shanlu...@gmail.com> > wrote: > > > > Thanks for your reply. In the example code, they run the k-means > algorithm > > using org.apache.hadoop.conf.Configuration, > > org.apache.hadoop.fs.FileSystem, and org.apache.hadoop.fs.Path > parameters. > > Is there any algorithm that doesn't need any Configuration and Path > > parameter, just use the data in memory? I mean, can I run the k-means > > algorithm without using the hadoop api, just using java? Thanks. > > > > > > On Sun, Dec 1, 2013 at 9:58 PM, Amit Nithian <anith...@gmail.com> wrote: > > > > > When you say without hadoop does that include local mode? You can run > > these > > > examples in local mode that doesn't require a cluster for testing and > > > poking around. Everything then runs in a single jvm. > > > On Dec 1, 2013 9:18 PM, "Shan Lu" <shanlu...@gmail.com> wrote: > > > > > > > Hi, > > > > > > > > I am working on a very simple k-means clustering example. Is there a > > way > > > to > > > > run clustering algorithms in mahout without using Hadoop? I am > reading > > > the > > > > book "Mahout in Action". In chapter 7, the hello world clustering > code > > > > example, they use > > > > == > > > > > > > > KMeansDriver.run(conf, new Path("testdata/points"), new > > > > Path("testdata/clusters"), > > > > new Path("output"), new EuclideanDistanceMeasure(), 0.001, 10, > > > > true, false); > > > > > > > > == > > > > to run the k-means algorithm. How can I run the k-means algorithm > > without > > > > Hadoop? > > > > > > > > Thanks! > > > > > > > > > > Shan > > > > > > > > > > > > > > > -- > > Shan Lu > > ECE Dept., NEU, Boston, MA 02115 > > > > > > -- > Shan Lu > ECE Dept., NEU, Boston, MA 02115 >
