org.apache.mahout.clustering.syntheticcontrol.meanshift
Class Job
java.lang.Object
org.apache.hadoop.conf.Configured
org.apache.mahout.common.AbstractJob
org.apache.mahout.clustering.syntheticcontrol.meanshift.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,
double convergenceDelta,
int maxIterations)
Run the meanshift 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,
InterruptedException,
InstantiationException,
IllegalAccessException
- Throws:
IOException
ClassNotFoundException
InterruptedException
InstantiationException
IllegalAccessException
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,
double convergenceDelta,
int maxIterations)
throws IOException,
InterruptedException,
ClassNotFoundException,
InstantiationException,
IllegalAccessException
- Run the meanshift 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
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