org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans
Class Job
java.lang.Object
org.apache.hadoop.conf.Configured
org.apache.mahout.common.AbstractJob
org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans.Job
- All Implemented Interfaces:
- org.apache.hadoop.conf.Configurable, org.apache.hadoop.util.Tool
public final class Job
- extends AbstractJob
Method Summary |
static void |
main(String[] args)
|
void |
run(org.apache.hadoop.conf.Configuration conf,
org.apache.hadoop.fs.Path input,
org.apache.hadoop.fs.Path output,
DistanceMeasure measure,
double t1,
double t2,
int maxIterations,
float fuzziness,
double convergenceDelta)
Run the kmeans clustering job on an input dataset using the given distance measure, t1, t2 and iteration
parameters. |
int |
run(String[] args)
|
Methods inherited from class org.apache.mahout.common.AbstractJob |
addFlag, addInputOption, addOption, addOption, addOption, addOption, addOutputOption, getInputPath, getOption, getOutputPath, hasOption, keyFor, maybePut, parseArguments, parseDirectories, prepareJob, shouldRunNextPhase |
Methods inherited from class org.apache.hadoop.conf.Configured |
getConf, setConf |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Methods inherited from interface org.apache.hadoop.conf.Configurable |
getConf, setConf |
main
public static void main(String[] args)
throws Exception
- Throws:
Exception
run
public int run(String[] args)
throws IOException,
ClassNotFoundException,
InstantiationException,
IllegalAccessException,
InterruptedException
- Throws:
IOException
ClassNotFoundException
InstantiationException
IllegalAccessException
InterruptedException
run
public void run(org.apache.hadoop.conf.Configuration conf,
org.apache.hadoop.fs.Path input,
org.apache.hadoop.fs.Path output,
DistanceMeasure measure,
double t1,
double t2,
int maxIterations,
float fuzziness,
double convergenceDelta)
throws IOException,
InstantiationException,
IllegalAccessException,
InterruptedException,
ClassNotFoundException
- Run the kmeans clustering job on an input dataset using the given distance measure, t1, t2 and iteration
parameters. All output data will be written to the output directory, which will be initially deleted if
it exists. The clustered points will reside in the path
Copyright © 2008-2010 The Apache Software Foundation. All Rights Reserved.