+1 bingo. K-Means is expecting you to provide the prior cluster centers
in -c. If you want it to sample from your input data you need to add the
-k option to tell it how many you want. This has been a constant part of
the api for some time, hence 0.4, 0.5 and 0.6 will all give the same
error if you overlook this argument.
On 2/14/12 8:56 AM, Suneel Marthi wrote:
You are not specifying the number of clusters that need to be generated, try running
again by specifying a -k<number of clusters> option. You also need to specify
that you need clustering to be done with -cl.
For example:-
./bin/mahout kmeans -i
./examples/bin/work/reuters-out-seqdir-sparse/tfidf-vectors/ -c
./examples/bin/work/clusters -o ./examples/bin/work/reuters-kmeans -x
10 -ow -k 20 -cl
________________________________
From: qiang xu (Issue Comment Edited) (JIRA)<[email protected]>
To: [email protected]
Sent: Tuesday, February 14, 2012 10:48 AM
Subject: [jira] [Issue Comment Edited] (MAHOUT-504) Kmeans clustering error
[
https://issues.apache.org/jira/browse/MAHOUT-504?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13207675#comment-13207675
]
qiang xu edited comment on MAHOUT-504 at 2/14/12 3:46 PM:
----------------------------------------------------------
This problem still exist in mahout 0.5 and 0.6
./bin/mahout kmeans -i
./examples/bin/work/reuters-out-seqdir-sparse/tfidf-vectors/ -c
./examples/bin/work/clusters -o ./examples/bin/work/reuters-kmeans -x 10 -ow
Running on hadoop, using HADOOP_HOME=/data/hadoop_cluster/hadoop-0.20.2/
HADOOP_CONF_DIR=/data/hadoop_cluster/hadoop-0.20.2/conf/
12/02/14 20:56:03 INFO common.AbstractJob: Command line arguments:
{--clusters=./examples/bin/work/clusters, --convergenceDelta=0.5,
--distanceMeasure=org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure,
--endPhase=2147483647,
--input=./examples/bin/work/reuters-out-seqdir-sparse/tfidf-vectors/,
--maxIter=10, --method=mapreduce, --output=./examples/bin/work/reuters-kmeans,
--overwrite=null, --startPhase=0, --tempDir=temp}
12/02/14 20:56:03 INFO kmeans.KMeansDriver: Input:
examples/bin/work/reuters-out-seqdir-sparse/tfidf-vectors Clusters In:
examples/bin/work/clusters Out: examples/bin/work/reuters-kmeans Distance:
org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
12/02/14 20:56:03 INFO kmeans.KMeansDriver: convergence: 0.5 max Iterations: 10
num Reduce Tasks: org.apache.mahout.math.VectorWritable Input Vectors: {}
12/02/14 20:56:03 INFO kmeans.KMeansDriver: K-Means Iteration 1
12/02/14 20:56:05 INFO input.FileInputFormat: Total input paths to process : 1
12/02/14 20:56:06 INFO mapred.JobClient: Running job: job_201202131515_0122
12/02/14 20:56:07 INFO mapred.JobClient: map 0% reduce 0%
12/02/14 20:56:16 INFO mapred.JobClient: Task Id :
attempt_201202131515_0122_m_000000_0, Status : FAILED
java.lang.IllegalStateException: No clusters found. Check your -c path.
at
org.apache.mahout.clustering.kmeans.KMeansMapper.setup(KMeansMapper.java:60)
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.Child.main(Child.java:170)
It is really weired that cluster is gernerated
[root@qxutest mahout-distribution-0.5]# hadoop fs -ls
/user/root/examples/bin/work/
Found 4 items
drwxr-xr-x - root supergroup 0 2012-02-14 20:55
/user/root/examples/bin/work/clusters
drwxr-xr-x - root supergroup 0 2012-02-14 20:56
/user/root/examples/bin/work/reuters-kmeans
drwxr-xr-x - root supergroup 0 2012-02-14 20:29
/user/root/examples/bin/work/reuters-out-seqdir
drwxr-xr-x - root supergroup 0 2012-02-14 20:32
/user/root/examples/bin/work/reuters-out-seqdir-sparse
[root@qxutest mahout-distribution-0.5]# hadoop fs -ls
/user/root/examples/bin/work/clusters
Found 1 items
-rw-r--r-- 2 root supergroup 139 2012-02-14 20:55
/user/root/examples/bin/work/clusters/part-randomSeed
I follow the guide in https://cwiki.apache.org/MAHOUT/k-means-clustering.html
was (Author: skaterxu):
./bin/mahout kmeans -i
./examples/bin/work/reuters-out-seqdir-sparse/tfidf-vectors/ -c
./examples/bin/work/clusters -o ./examples/bin/work/reuters-kmeans -x 10 -ow
Running on hadoop, using HADOOP_HOME=/data/hadoop_cluster/hadoop-0.20.2/
HADOOP_CONF_DIR=/data/hadoop_cluster/hadoop-0.20.2/conf/
12/02/14 20:56:03 INFO common.AbstractJob: Command line arguments:
{--clusters=./examples/bin/work/clusters, --convergenceDelta=0.5,
--distanceMeasure=org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure,
--endPhase=2147483647,
--input=./examples/bin/work/reuters-out-seqdir-sparse/tfidf-vectors/,
--maxIter=10, --method=mapreduce, --output=./examples/bin/work/reuters-kmeans,
--overwrite=null, --startPhase=0, --tempDir=temp}
12/02/14 20:56:03 INFO kmeans.KMeansDriver: Input:
examples/bin/work/reuters-out-seqdir-sparse/tfidf-vectors Clusters In:
examples/bin/work/clusters Out: examples/bin/work/reuters-kmeans Distance:
org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
12/02/14 20:56:03 INFO kmeans.KMeansDriver: convergence: 0.5 max Iterations: 10
num Reduce Tasks: org.apache.mahout.math.VectorWritable Input Vectors: {}
12/02/14 20:56:03 INFO kmeans.KMeansDriver: K-Means Iteration 1
12/02/14 20:56:05 INFO input.FileInputFormat: Total input paths to process : 1
12/02/14 20:56:06 INFO mapred.JobClient: Running job: job_201202131515_0122
12/02/14 20:56:07 INFO mapred.JobClient: map 0% reduce 0%
12/02/14 20:56:16 INFO mapred.JobClient: Task Id :
attempt_201202131515_0122_m_000000_0, Status : FAILED
java.lang.IllegalStateException: No clusters found. Check your -c path.
at
org.apache.mahout.clustering.kmeans.KMeansMapper.setup(KMeansMapper.java:60)
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.Child.main(Child.java:170)
It is really weired that cluster is gernerated
[root@qxutest mahout-distribution-0.5]# hadoop fs -ls
/user/root/examples/bin/work/
Found 4 items
drwxr-xr-x - root supergroup 0 2012-02-14 20:55
/user/root/examples/bin/work/clusters
drwxr-xr-x - root supergroup 0 2012-02-14 20:56
/user/root/examples/bin/work/reuters-kmeans
drwxr-xr-x - root supergroup 0 2012-02-14 20:29
/user/root/examples/bin/work/reuters-out-seqdir
drwxr-xr-x - root supergroup 0 2012-02-14 20:32
/user/root/examples/bin/work/reuters-out-seqdir-sparse
[root@qxutest mahout-distribution-0.5]# hadoop fs -ls
/user/root/examples/bin/work/clusters
Found 1 items
-rw-r--r-- 2 root supergroup 139 2012-02-14 20:55
/user/root/examples/bin/work/clusters/part-randomSeed
I follow the guide in https://cwiki.apache.org/MAHOUT/k-means-clustering.html
Kmeans clustering error
-----------------------
Key: MAHOUT-504
URL: https://issues.apache.org/jira/browse/MAHOUT-504
Project: Mahout
Issue Type: Bug
Reporter: Zhen Guo
Assignee: Robin Anil
Fix For: 0.4
I tried the Kmeans algorithm on the Synthetic Control data. The following error
appears. I tried the Canopy algorithm, it is fine. This error is from Mapper. I
am using Trunk.
10/09/20 19:40:06 INFO mapred.JobClient: Task Id :
attempt_201008261432_1324_m_000000_0, Status : FAILED
java.lang.IllegalStateException: Cluster is empty!
at
org.apache.mahout.clustering.kmeans.KMeansClusterMapper.setup(KMeansClusterMapper.java:57)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:142)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:583)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:305)
at org.apache.hadoop.mapred.Child.main(Child.java:170)
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