Introduction to Apache Mahout K-means clustering

[joshuathree <go...@hotmail.com>]

I am trying to cluster a sparse matrix with using K-means algorithm. I will
use Apache mahout but I did not find any example about how can it be
implement with Java. Is there any tutorial or function javadoc about it?

I have tried KmeansDriver's run() function but I did not give true
parameters. Trustly, I did not understand implementation of this function.
Is there a clear example about that which takes a matrix, dataset or file
and gives clustered data?



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Re: Introduction to Apache Mahout K-means clustering

[Jeff Eastman <jd...@windwardsolutions.com>]

See the response "Re: Clustering without hadoop" by Johannes Schulte two 
postings earlier than yours on user@m.a.o. The driver functions can also 
be run in sequential mode from a local file system and do not require 
Hadoop. There are several examples of Java invocation in the unit tests. 
TestClusterEvaluator.testKmeans() uses sequential execution from points 
written to a local file.


On 11/13/12 4:37 AM, joshuathree wrote:
> I am trying to cluster a sparse matrix with using K-means algorithm. I will
> use Apache mahout but I did not find any example about how can it be
> implement with Java. Is there any tutorial or function javadoc about it?
>
> I have tried KmeansDriver's run() function but I did not give true
> parameters. Trustly, I did not understand implementation of this function.
> Is there a clear example about that which takes a matrix, dataset or file
> and gives clustered data?
>
>
>
> --
> View this message in context: http://lucene.472066.n3.nabble.com/Introduction-to-Apache-Mahout-K-means-clustering-tp4019975.html
> Sent from the Mahout User List mailing list archive at Nabble.com.
>
>