org.apache.mahout.clustering.kmeans
Class KMeansDriver
java.lang.Object
org.apache.hadoop.conf.Configured
org.apache.mahout.common.AbstractJob
org.apache.mahout.clustering.kmeans.KMeansDriver
- All Implemented Interfaces:
- org.apache.hadoop.conf.Configurable, org.apache.hadoop.util.Tool
public class KMeansDriver
- extends AbstractJob
Method Summary |
static org.apache.hadoop.fs.Path |
buildClusters(org.apache.hadoop.conf.Configuration conf,
org.apache.hadoop.fs.Path input,
org.apache.hadoop.fs.Path clustersIn,
org.apache.hadoop.fs.Path output,
int maxIterations,
String delta,
boolean runSequential)
Iterate over the input vectors to produce cluster directories for each iteration |
static void |
clusterData(org.apache.hadoop.conf.Configuration conf,
org.apache.hadoop.fs.Path input,
org.apache.hadoop.fs.Path clustersIn,
org.apache.hadoop.fs.Path output,
double clusterClassificationThreshold,
boolean runSequential)
Run the job using supplied arguments |
static void |
main(String[] args)
|
static void |
run(org.apache.hadoop.conf.Configuration conf,
org.apache.hadoop.fs.Path input,
org.apache.hadoop.fs.Path clustersIn,
org.apache.hadoop.fs.Path output,
double convergenceDelta,
int maxIterations,
boolean runClustering,
double clusterClassificationThreshold,
boolean runSequential)
Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to
cluster the input vectors. |
static void |
run(org.apache.hadoop.fs.Path input,
org.apache.hadoop.fs.Path clustersIn,
org.apache.hadoop.fs.Path output,
double convergenceDelta,
int maxIterations,
boolean runClustering,
double clusterClassificationThreshold,
boolean runSequential)
Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to
cluster the input vectors. |
int |
run(String[] args)
|
Methods inherited from class org.apache.mahout.common.AbstractJob |
addFlag, addInputOption, addOption, addOption, addOption, addOption, addOutputOption, buildOption, buildOption, getAnalyzerClassFromOption, getCLIOption, getConf, getDimensions, getFloat, getFloat, getGroup, getInputFile, getInputPath, getInt, getInt, getOption, getOption, getOption, getOptions, getOutputFile, getOutputPath, getOutputPath, getTempPath, getTempPath, hasOption, keyFor, maybePut, parseArguments, parseArguments, parseDirectories, prepareJob, prepareJob, prepareJob, prepareJob, setConf, setS3SafeCombinedInputPath, shouldRunNextPhase |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
KMeansDriver
public KMeansDriver()
main
public static void main(String[] args)
throws Exception
- Throws:
Exception
run
public int run(String[] args)
throws Exception
- Throws:
Exception
run
public static void run(org.apache.hadoop.conf.Configuration conf,
org.apache.hadoop.fs.Path input,
org.apache.hadoop.fs.Path clustersIn,
org.apache.hadoop.fs.Path output,
double convergenceDelta,
int maxIterations,
boolean runClustering,
double clusterClassificationThreshold,
boolean runSequential)
throws IOException,
InterruptedException,
ClassNotFoundException
- Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to
cluster the input vectors.
- Parameters:
input
- the directory pathname for input pointsclustersIn
- the directory pathname for initial & computed clustersoutput
- the directory pathname for output pointsconvergenceDelta
- the convergence delta valuemaxIterations
- the maximum number of iterationsrunClustering
- true if points are to be clustered after iterations are completedclusterClassificationThreshold
- Is a clustering strictness / outlier removal parameter. Its value should be between 0 and 1. Vectors
having pdf below this value will not be clustered.runSequential
- if true execute sequential algorithm
- Throws:
IOException
InterruptedException
ClassNotFoundException
run
public static void run(org.apache.hadoop.fs.Path input,
org.apache.hadoop.fs.Path clustersIn,
org.apache.hadoop.fs.Path output,
double convergenceDelta,
int maxIterations,
boolean runClustering,
double clusterClassificationThreshold,
boolean runSequential)
throws IOException,
InterruptedException,
ClassNotFoundException
- Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to
cluster the input vectors.
- Parameters:
input
- the directory pathname for input pointsclustersIn
- the directory pathname for initial & computed clustersoutput
- the directory pathname for output pointsconvergenceDelta
- the convergence delta valuemaxIterations
- the maximum number of iterationsrunClustering
- true if points are to be clustered after iterations are completedclusterClassificationThreshold
- Is a clustering strictness / outlier removal parameter. Its value should be between 0 and 1. Vectors
having pdf below this value will not be clustered.runSequential
- if true execute sequential algorithm
- Throws:
IOException
InterruptedException
ClassNotFoundException
buildClusters
public static org.apache.hadoop.fs.Path buildClusters(org.apache.hadoop.conf.Configuration conf,
org.apache.hadoop.fs.Path input,
org.apache.hadoop.fs.Path clustersIn,
org.apache.hadoop.fs.Path output,
int maxIterations,
String delta,
boolean runSequential)
throws IOException,
InterruptedException,
ClassNotFoundException
- Iterate over the input vectors to produce cluster directories for each iteration
- Parameters:
conf
- the Configuration to useinput
- the directory pathname for input pointsclustersIn
- the directory pathname for initial & computed clustersoutput
- the directory pathname for output pointsmaxIterations
- the maximum number of iterationsdelta
- the convergence delta valuerunSequential
- if true execute sequential algorithm
- Returns:
- the Path of the final clusters directory
- Throws:
IOException
InterruptedException
ClassNotFoundException
clusterData
public static void clusterData(org.apache.hadoop.conf.Configuration conf,
org.apache.hadoop.fs.Path input,
org.apache.hadoop.fs.Path clustersIn,
org.apache.hadoop.fs.Path output,
double clusterClassificationThreshold,
boolean runSequential)
throws IOException,
InterruptedException,
ClassNotFoundException
- Run the job using supplied arguments
- Parameters:
input
- the directory pathname for input pointsclustersIn
- the directory pathname for input clustersoutput
- the directory pathname for output pointsclusterClassificationThreshold
- Is a clustering strictness / outlier removal parameter. Its value should be between 0 and 1. Vectors
having pdf below this value will not be clustered.runSequential
- if true execute sequential algorithm
- Throws:
IOException
InterruptedException
ClassNotFoundException
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