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SOLUTIONS
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Functions
- BrayCurtisDistance
- CanberraDistance
- ChessboardDistance
- CorrelationDistance
- CosineDistance
- DamerauLevenshteinDistance
- DiceDissimilarity
- DistanceFunction
- DistanceTransform
- EditDistance
- EuclideanDistance
- FindClusters
- FindShortestTour
- HammingDistance
- JaccardDissimilarity
- ManhattanDistance
- MatchingDissimilarity
- MeanShift
- Nearest
- NeedlemanWunschSimilarity
- NormalizedSquaredEuclideanDistance
- RogersTanimotoDissimilarity
- RussellRaoDissimilarity
- SequenceAlignment
- SmithWatermanSimilarity
- SokalSneathDissimilarity
- SquaredEuclideanDistance
- YuleDissimilarity
- Related Guides
- Tutorials
Distance and Similarity Measures
Different measures of distance or similarity are convenient for different types of analysis. Mathematica provides built-in functions for many standard distance measures, as well as the capability to give a symbolic definition for an arbitrary measure.
ReferenceReference
Numerical Data
EuclideanDistance ▪ SquaredEuclideanDistance ▪ NormalizedSquaredEuclideanDistance ▪ ManhattanDistance ▪ ChessboardDistance ▪ BrayCurtisDistance ▪ CanberraDistance ▪ CosineDistance ▪ CorrelationDistance
Boolean Data
HammingDistance ▪ JaccardDissimilarity ▪ MatchingDissimilarity ▪ DiceDissimilarity ▪ RogersTanimotoDissimilarity ▪ RussellRaoDissimilarity ▪ SokalSneathDissimilarity ▪ YuleDissimilarity
String Data
EditDistance ▪ DamerauLevenshteinDistance ▪ HammingDistance ▪ SmithWatermanSimilarity ▪ NeedlemanWunschSimilarity
DistanceFunction — option for specifying distance functions
Nearest ▪ FindClusters ▪ MeanShift ▪ FindShortestTour ▪ SequenceAlignment ▪ DistanceTransform ▪ ![]()
