Thank you for your answer.
I'm using this:
ClusterClassificationDriver.run(new Path("vector"), new Path("clusterOutput"),
new Path("cluster"), 0.5, false, false);
My vector looks like :
SEQ__org.apache.hadoop.io.Text_org.apache.hadoop.io.Text______t€ðàó^æVG²RŸ˜Õ_________Ž__P(0):{15:1.4650986194610596,14:0.9997141361236572,11:0.9997141361236572,10:0.9997141361236572,9:0.9997141361236572,8:1.4650986194610596,7:1.4650986194610596,6:1.4650986194610596,5:0.9997141361236572,4:1.4650986194610596,2:3.1613736152648926,1:1.4650986194610596,0:0.9997141361236572}_________Ž__P(1):{15:1.4650986194610596,14:0.9997141361236572,11:0.9997141361236572,10:0.9997141361236572,9:0.9997141361236572,8:1.4650986194610596,7:1.4650986194610596,6:1.4650986194610596,5:0.9997141361236572,4:1.4650986194610596,2:3.1613736152648926,1:1.4650986194610596,0:0.9997141361236572}_________Ž__P(2):{
[… and others]
My error:
java.lang.ArrayIndexOutOfBoundsException: 0
at
org.apache.mahout.clustering.classify.ClusterClassificationMapper.populateClusterModels(ClusterClassificationMapper.java:129)
at
org.apache.mahout.clustering.classify.ClusterClassificationMapper.setup(ClusterClassificationMapper.java:74)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:142)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:621)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:305)
at
org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:177)
12/08/02 14:53:31 INFO mapred.JobClient: map 0% reduce 0%
12/08/02 14:53:32 INFO mapred.JobClient: Job complete: job_local_0001
12/08/02 14:53:32 INFO mapred.JobClient: Counters: 0
Exception in thread "main" java.lang.InterruptedException: Cluster
Classification Driver Job failed processing vector
at
org.apache.mahout.clustering.classify.ClusterClassificationDriver.classifyClusterMR(ClusterClassificationDriver.java:276)
at
org.apache.mahout.clustering.classify.ClusterClassificationDriver.run(ClusterClassificationDriver.java:135)
at main.LuceneDemo.main(LuceneDemo.java:210)
does anyone please help me?
-----Message d'origine-----
De : Paritosh Ranjan [mailto:[email protected]]
Envoyé : jeudi 2 août 2012 12:45
À : [email protected]
Objet : Re: kmeans cluster V:0.7
KMeansClusterer has been removed.
Clustering is done via ClusterClassificationDriver now in a different and
generic way.
KMeansDriver's run method is all you need to use KMeans Clustering.
On 02-08-2012 15:25, Videnova, Svetlana wrote:
> Hello,
> I'm using mahout 0.7 and trying to clusterise, but apparently there is no
> more KMeansClusterer class available in 0.7.
> Can somebody please tell me by which class kmeansclusterer is replaced?
>
> Thank you
>
>
>
> Think green - keep it on the screen.
>
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>
Think green - keep it on the screen.
This e-mail and any attachment is for authorised use by the intended
recipient(s) only. It may contain proprietary material, confidential
information and/or be subject to legal privilege. It should not be copied,
disclosed to, retained or used by, any other party. If you are not an intended
recipient then please promptly delete this e-mail and any attachment and all
copies and inform the sender. Thank you.
