The error says that it did not find any non empty cluster.
See ClusterClassificationDriverTest for its proper usage.
On 02-08-2012 18:38, Videnova, Svetlana wrote:
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
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This e-mail and any attachment is for authorised use by the intended
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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
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