Distance and Dissimilarity Measures

Different measures of distance or dissimilarity 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.

Numerical Data

EuclideanDistance ▪ SquaredEuclideanDistance ▪ ManhattanDistance ▪ ChebyshevDistance ▪ BrayCurtisDistance ▪ CanberraDistance ▪ CosineDistance ▪ CorrelationDistance

Boolean Data

HammingDistance ▪ JaccardDissimilarity ▪ MatchingDissimilarity ▪ DiceDissimilarity ▪ RogersTanimotoDissimilarity ▪ RussellRaoDissimilarity ▪ SokalSneathDissimilarity ▪ YuleDissimilarity

String Data

EditDistance ▪ HammingDistance

DistanceFunction — option for specifying distance functions

Nearest ▪ FindClusters ▪ FindShortestTour ▪ ...

TUTORIALS

Partitioning Data into Clusters

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Data Classification

String Manipulation

Operations on Vectors

Hierarchical Clustering Package