Uses of Interface
com.wcohen.ss.api.StringDistance

Packages that use StringDistance

Package	Description
com.wcohen.ss	This package contains a bunch of approximate string comparators, plus code for performing controlled experiments with this.
com.wcohen.ss.api
com.wcohen.ss.expt
com.wcohen.ss.lookup
com.wcohen.ss.tokens

Uses of StringDistance in com.wcohen.ss

Classes in com.wcohen.ss that implement StringDistance

Modifier and Type	Class and Description
class	AbbreviationAlignment Abbreviation distance metric which evaluates the probability of a short-form string being an abbreviation/acronym of another long-form string.
class	AbstractSourcedStatisticalTokenDistance Abstract token distance metric that uses frequency statistics.
class	AbstractSourcedTokenizedStringDistance Abstract distance metric for tokenized strings.
class	AbstractStatisticalTokenDistance Abstract token distance metric that uses frequency statistics.
class	AbstractStringDistance Abstract class which implements StringDistanceLearner as well as StringDistance.
class	AbstractTokenizedStringDistance Abstract distance metric for tokenized strings.
class	AffineGap Affine-gap string distance, following Durban et al.
class	ApproxNeedlemanWunsch Needleman-Wunsch string distance, following Durban et al.
protected class	CombinedStringDistanceLearner.CombinedStringDistance Abstract class for combining innerDistances's
class	DirichletJS Jensen-Shannon distance of two unigram language models, smoothed using Dirichlet prior.
class	Jaccard Jaccard distance implementation.
class	Jaro Jaro distance metric.
class	JaroTFIDF Soft TFIDF-based distance metric, extended to use "soft" token-matching with the Jaro distance metric.
class	JaroWinkler Jaro distance metric, as extended by Winkler.
class	JaroWinklerTFIDF Soft TFIDF-based distance metric, extended to use "soft" token-matching with the JaroWinkler distance metric.
class	JelinekMercerJS Jensen-Shannon distance of two unigram language models, smoothed using Jelinek-Mercer mixture model.
class	JensenShannonDistance Distance metrics based on Jensen-Shannon distance of two smoothed unigram language models.
class	Level2 Generic version of Monge & Elkan's "level 2" recursive field matching.
class	Level2Jaro "Level 2" recursive field matching algorithm, based on Jaro distance.
class	Level2JaroWinkler "Level 2" recursive field matching algorithm, based on Jaro distance.
class	Level2Levenstein "Level 2" recursive field matching algorithm using Levenstein distance.
class	Level2MongeElkan Monge & Elkan's "level 2" recursive field matching algorithm.
class	Levenstein Levenstein string distance.
class	Mixture Mixture-based distance metric.
class	MongeElkan The match method proposed by Monge and Elkan.
class	MongeElkanTFIDF Soft TFIDF-based distance metric, extended to use "soft" token-matching with the MongeElkan distance metric.
class	MultiStringAvgDistance StringDistance defined over Strings that are broken into fields, with distance defined as the average distance between any field.
class	MultiStringDistance Abstract class StringDistance defined over Strings that are broken into fields.
class	NeedlemanWunsch Needleman-Wunsch string distance, following Durban et al.
class	ScaledLevenstein Levenstein string distance.
class	SmithWaterman Smith-Waterman string distance, following Durban et al.
class	SoftTFIDF TFIDF-based distance metric, extended to use "soft" token-matching.
class	SoftTokenFelligiSunter Highly simplified model of Felligi-Sunter's method 1, applied to tokens.
class	SourcedSoftTFIDF TFIDF-based distance metric, extended to use "soft" token-matching.
class	SourcedTFIDF Sourced-based distance metric.
class	TagLink
class	TFIDF TFIDF-based distance metric.
class	TokenFelligiSunter Highly simplified model of Felligi-Sunter's method 1, applied to tokens.
class	UnsmoothedJS Jensen-Shannon distance of two unsmoothed unigram language models.
class	WinklerRescorer Winkler's reweighting scheme for distance metrics.

Fields in com.wcohen.ss declared as StringDistance

Modifier and Type	Field and Description
protected StringDistance[]	CombinedStringDistanceLearner.CombinedStringDistance.innerDistances

Methods in com.wcohen.ss that return StringDistance

Modifier and Type	Method and Description
static StringDistance[]	DistanceLearnerFactory.buildArray(String classNames) Generate a StringDistanceArray given a sequence of classnames separated by slashes.
abstract StringDistance	CombinedStringDistanceLearner.getDistance() Get the final string distance, which will be based on the distances learned by the inner learners, as well as the combination scheme learned by comboSetAnswer, comboTrain, and etc.
StringDistance	AveragedStringDistanceLearner.getDistance()
StringDistance	AbstractStringDistance.getDistance() Implements the StringDistanceLearner api by return a StringDistance.
protected abstract StringDistance	MultiStringDistance.getDistance(int i) Get the distance used for the i-th pair of fields
protected StringDistance	MultiStringAvgDistance.getDistance(int i)
protected StringDistance[]	CombinedStringDistanceLearner.getInnerDistances() Get an array of trained inner distances.

Methods in com.wcohen.ss with parameters of type StringDistance

Modifier and Type	Method and Description
protected static void	MultiStringDistance.doMain(StringDistance d, String[] argv) Default main routine for testing
protected static void	AbstractStringDistance.doMain(StringDistance d, String[] argv) Default main routine for testing
void	MultiStringWrapper.prepare(StringDistance[] innerDistances) Prepare each field with the appropriate distance

Constructors in com.wcohen.ss with parameters of type StringDistance

Constructor and Description
CombinedStringDistance(StringDistance[] innerDistances, MultiStringWrapper prototype)
Level2(Tokenizer tokenizer, StringDistance tokenDistance)
MultiStringAvgDistance(StringDistance distance, String delim)
SoftTFIDF(StringDistance tokenDistance)
SoftTFIDF(StringDistance tokenDistance, double tokenMatchThreshold)
SoftTFIDF(Tokenizer tokenizer, StringDistance tokenDistance, double tokenMatchThreshold)
SoftTokenFelligiSunter(Tokenizer tokenizer, StringDistance tokenDistance, double tokenMatchThreshold, double mismatchFactor)
SourcedSoftTFIDF(SourcedTokenizer tokenizer, StringDistance tokenDistance, double tokenMatchThreshold)
SourcedSoftTFIDF(StringDistance tokenDistance)
SourcedSoftTFIDF(StringDistance tokenDistance, double tokenMatchThreshold)
WinklerRescorer(StringDistance innerDistance) Rescore the innerDistance's scores, to account for the subjectively greater importance of the first few characters.

Uses of StringDistance in com.wcohen.ss.api

Methods in com.wcohen.ss.api that return StringDistance

Modifier and Type	Method and Description
StringDistance	StringDistanceLearner.getDistance() Return the learned distance.
StringDistance	StringDistanceTeacher.train(StringDistanceLearner learner)

Uses of StringDistance in com.wcohen.ss.expt

Methods in com.wcohen.ss.expt that return StringDistance

Modifier and Type	Method and Description
StringDistance	SpecialMatchExpt.getLearnedDistance()

Uses of StringDistance in com.wcohen.ss.lookup

Constructors in com.wcohen.ss.lookup with parameters of type StringDistance

Constructor and Description
RescoringSoftTFIDFDictionary(FastLookup inner, double innerMinScore, StringDistance rescorer)

Uses of StringDistance in com.wcohen.ss.tokens

Classes in com.wcohen.ss.tokens that implement StringDistance

Modifier and Type	Class and Description
class	TagLinkToken