de.lmu.ifi.dbs.elki.algorithm.result.clustering
Class EMModel<V extends RealVector<V,?>>

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.algorithm.result.AbstractResult<V>
          de.lmu.ifi.dbs.elki.algorithm.result.clustering.EMModel<V>

Type Parameters:

V - the type of RealVector handled by this Result

All Implemented Interfaces:

Result<V>, Loggable

public class EMModel<V extends RealVector<V,?>>
extends AbstractResult<V>

// todo arthur comment

Author:

Arthur Zimek

Field Summary

private Matrix	covarianceMatrix
private V	mean

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.result.AbstractResult

db, FILE_EXTENSION

Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debug

Fields inherited from interface de.lmu.ifi.dbs.elki.algorithm.result.Result

SEPARATOR

Constructor Summary

EMModel(Database<V> db, V mean, Matrix covarianceMatrix)
todo comment

Method Summary

void	output(PrintStream outStream, Normalization<V> normalization, List<AttributeSettings> settings) Writes the clustering result to the given stream.

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.result.AbstractResult

getDatabase, output, writeHeader

Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debugFine, debugFiner, debugFinest, exception, message, progress, progress, progress, verbose, verbose, warning

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

mean

private V extends RealVector<V,?> mean

covarianceMatrix

private Matrix covarianceMatrix

Constructor Detail

EMModel

public EMModel(Database<V> db,
               V mean,
               Matrix covarianceMatrix)

todo comment

Parameters:

db -

mean -

covarianceMatrix -

Method Detail

output

public void output(PrintStream outStream,
                   Normalization<V> normalization,
                   List<AttributeSettings> settings)
            throws UnableToComplyException

Description copied from interface: Result

Writes the clustering result to the given stream.

Parameters:

outStream - the stream to write to

normalization - Normalization to restore original values according to, if this action is supported - may remain null.

settings - the settings to be written into the header, if this parameter is null, no header will be written

Throws:

UnableToComplyException - if any feature vector is not compatible with values initialized during normalization

See Also:

Result.output(java.io.PrintStream,de.lmu.ifi.dbs.elki.normalization.Normalization,java.util.List)