Package de.uni_trier.wi2.procake.similarity.nest.sequence.utils.impl

Class DTWImpl

java.lang.Object

de.uni_trier.wi2.procake.similarity.nest.sequence.utils.impl.DPImpl

de.uni_trier.wi2.procake.similarity.nest.sequence.utils.impl.DTWImpl

All Implemented Interfaces:

DP, DTW

public class DTWImpl
extends DPImpl
implements DTW

Field Summary

Fields inherited from class de.uni_trier.wi2.procake.similarity.nest.sequence.utils.impl.DPImpl

algorithmFinished, alignmentPath, caseObjects, dataCollectionMeasure, dataSimilarityToUse, halvingDistancePercentage, inputDataSimWeight, localSimilarityToUse, matrixIsConstructed, outputDataSimWeight, queryObjects, scoringMatrix, similarityValue, simValuator, startAlignmentInLastRow, taskSimWeight

Constructor Summary

Constructors

Constructor	Description
DTWImpl(DataObject[] queryObjects)
DTWImpl(DataObject[] queryObjects, DataObject[] caseObjects)

Method Summary

Modifier and Type	Method	Description
DataObject[][]	getAlignment()	Returns the found alignment of the dp algorithm as a 2d array.
double	getNormedSimilarityScore()	Return the normalized similarity.
Vector	getStepVec(DataObject queryObj, DataObject caseObj)	Vector representing DP-specific possibilities associated with each step.
void	setStretchSim(double valBelowZero)	Set the stretching factor to be used for local similarities.

Methods inherited from class de.uni_trier.wi2.procake.similarity.nest.sequence.utils.impl.DPImpl

computeSimilarity, computeSimilarity, computeSimilarity, getAssignments, getLocalNodeSim, getRawSimilarityScore, getRecommendation, initialize, isTwoByTwoMatrix, removeCase, setBindToLastRow, setCase, setCase, setDataSimilarityToUse, setHalvingDistancePercentage, setLocalSimilarityToUse, setLocalSimWeights, setSimilarityValuator

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.uni_trier.wi2.procake.similarity.nest.sequence.utils.DP

computeSimilarity, computeSimilarity, computeSimilarity, getAssignments, getRawSimilarityScore, getRecommendation, removeCase, setBindToLastRow, setCase, setCase, setDataSimilarityToUse, setHalvingDistancePercentage, setLocalSimilarityToUse, setLocalSimWeights, setSimilarityValuator

Constructor Detail

DTWImpl

public DTWImpl(DataObject[] queryObjects,
               DataObject[] caseObjects)

DTWImpl

public DTWImpl(DataObject[] queryObjects)

Method Detail

getStepVec

public Vector getStepVec(DataObject queryObj,
                         DataObject caseObj)

Description copied from interface: DP

Vector representing DP-specific possibilities associated with each step. This function is implemented by DTW and SWA individually.

Specified by:

getStepVec in interface DP

Returns:

A vector representing each step's values. (#val diagonal step#, #val horizontal step#, #val vertical step#, 0).

getAlignment

public DataObject[][] getAlignment()

Description copied from interface: DP

Returns the found alignment of the dp algorithm as a 2d array. return[0] und return[1] enthalten die alignments.

Specified by:

getAlignment in interface DP

Returns:

A 2d array containing the alignment.

getNormedSimilarityScore

public double getNormedSimilarityScore()

Description copied from interface: DP

Return the normalized similarity.

Specified by:

getNormedSimilarityScore in interface DP

Returns:

The normalized similarity score.

setStretchSim

public void setStretchSim(double valBelowZero)

Description copied from interface: DTW

Set the stretching factor to be used for local similarities.

Specified by:

setStretchSim in interface DTW

Parameters:

valBelowZero - The local sims will be mapped to the interval [-valBelowZero, 1]