Mahout Users,

  I have seen posts attempting to an answer the problem i have in hand. But,
i would like to seek some comments from who have been successful in
resolving this issue. 

(1) Input data: A space-delimited symmetric matrix of 500x500 double values.
The entire matrix is in one-single file, say 'raw-data.txt'
     Example:
                  1 0.8 0.9 ....
                  0.8 1 0.7 ....   
                  0.3 0.5 1 ....

(2) Data format conversion:
   
    (a)  Convert 'raw-data.txt' into a sequence format representation using
the commans
            
./mahout seqdirectory -i ~/temp/kmeans-input-dir/raw-dir/ -o
~/temp/kmeans-input-dir/seq-dir -c ascii

           
            
~/temp/kmeans-input-dir/seq-dir> ls -a
            .  ..  chunk-0  .chunk-0.crc


    (b) Convert sequence data into vector format:
           
 /mahout seq2sparse -i ~/temp/kmeans-input-dir/seq-dir/ -o
~/temp/kmeans-input-dir/vec-dir 


           
~/temp/kmeans-input-dir/vec-dir> ls -aR

.  ..  df-count  dictionary.file-0  .dictionary.file-0.crc  frequency.file-0 
.frequency.file-0.crc  tfidf-vectors  tf-vectors  tokenized-documents 
wordcount

./df-count:
.  ..  part-r-00000  .part-r-00000.crc

./tfidf-vectors:
.  ..  part-r-00000  .part-r-00000.crc

./tf-vectors:
.  ..  part-r-00000  .part-r-00000.crc

./tokenized-documents:
.  ..  part-m-00000  .part-m-00000.crc

./wordcount:
.  ..  part-r-00000  .part-r-00000.crc



(3) Run kmeans on the vector data

   
 ./mahout kmeans -c ~/temp/kmeans-input-dir/clusters/ -i
~/temp/kmeans-input-dir/vec-dir/tfidf-vectors/ -o
~/temp/kmeans-input-dir/kmeans-output -x 10 -k 5 -ow

            

11/04/22 13:11:35 INFO common.AbstractJob: Command line arguments:
{--clusters=~/temp/kmeans-input-dir/test-data-1-again/clusters,
--convergenceDelta=0.5,
--distanceMeasure=org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure,
--endPhase=2147483647,
--input=~/temp/kmeans-input-dir/test-data-1-again/vec-dir/tfidf-vectors/,
--maxIter=10, --method=mapreduce, --numClusters=5,
--output=~/temp/kmeans-input-dir/test-data-1-again/kmeans-output,
--overwrite=null, --startPhase=0, --tempDir=temp}
11/04/22 13:11:35 INFO util.NativeCodeLoader: Loaded the native-hadoop
library
11/04/22 13:11:35 INFO zlib.ZlibFactory: Successfully loaded & initialized
native-zlib library
11/04/22 13:11:35 INFO compress.CodecPool: Got brand-new compressor
Exception in thread "main" java.lang.IndexOutOfBoundsException: Index: 1,
Size: 1
        at java.util.ArrayList.RangeCheck(ArrayList.java:547)
        at java.util.ArrayList.get(ArrayList.java:322)
        at
org.apache.mahout.clustering.kmeans.RandomSeedGenerator.buildRandom(RandomSeedGenerator.java:107)
        at
org.apache.mahout.clustering.kmeans.KMeansDriver.run(KMeansDriver.java:96)
        at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
        at
org.apache.mahout.clustering.kmeans.KMeansDriver.main(KMeansDriver.java:54)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
        at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAcce

thoughts and comments on the above procedure is highly appreciated.

thanks,

-----
vs
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