de.lmu.ifi.dbs.elki.algorithm.result
Class AprioriResult

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.algorithm.result.AbstractResult<BitVector>
          de.lmu.ifi.dbs.elki.algorithm.result.AprioriResult

All Implemented Interfaces:

Result<BitVector>, Loggable

public class AprioriResult
extends AbstractResult<BitVector>

Stores a apriori result.

Author:

Arthur Zimek

Field Summary

private static NumberFormat	numberFormat Number Format for output purposes.
private List<BitSet>	solution The frequent itemsets.
private Map<BitSet,Integer>	supports The supports of all itemsets.

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

AprioriResult(List<BitSet> solution, Map<BitSet,Integer> supports, Database<BitVector> database)
Provides a apriori result.

Method Summary

List<BitSet>	getSolution() Returns the frequent item sets.
Map<BitSet,Integer>	getSupports() Returns the frequencies of the frequent item sets.
void	output(File out, Normalization<BitVector> normalization, List<AttributeSettings> settings) Prints the frequent itemsets annotating their reqpective frequency.
void	output(PrintStream outStream, Normalization<BitVector> 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, 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

numberFormat

private static final NumberFormat numberFormat

Number Format for output purposes.

solution

private List<BitSet> solution

The frequent itemsets.

supports

private Map<BitSet,Integer> supports

The supports of all itemsets.

Constructor Detail

AprioriResult

public AprioriResult(List<BitSet> solution,
                     Map<BitSet,Integer> supports,
                     Database<BitVector> database)

Provides a apriori result.

Parameters:

solution - the frequent itemsets

supports - the supports of all itemsets

database - the database, where the itemsets have been evaluated

Method Detail

output

public void output(File out,
                   Normalization<BitVector> normalization,
                   List<AttributeSettings> settings)
            throws UnableToComplyException

Prints the frequent itemsets annotating their reqpective frequency. Parameter normalization will remain unused.

Specified by:

output in interface Result<BitVector>

Overrides:

output in class AbstractResult<BitVector>

Parameters:

out - file, which designates the location to write the results, or which's name designates the prefix of any locations to write the results, or which could remain null to designate the standard-out as location for output.

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(File,Normalization,List)

output

public void output(PrintStream outStream,
                   Normalization<BitVector> 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)

getSolution

public List<BitSet> getSolution()

Returns the frequent item sets.

Returns:

the frequent item sets.

getSupports

public Map<BitSet,Integer> getSupports()

Returns the frequencies of the frequent item sets.

Returns:

the frequencies of the frequent item sets