DistanceMeasures Class

Provides access to standard distance measures for hierarchical cluster analysis.

Definition

Namespace: Numerics.NET.Statistics.Multivariate
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.1.5
C# 
public static class DistanceMeasures
Inheritance
Object  →  DistanceMeasures

Methods

MinkowskiDistance Returns a distance measure that uses the Minkowski distance for the specified power.

Fields

BinaryAnderberg Represents a distance measure that uses the Anderberg distance for binary data.
BinaryAntiDice Represents a distance measure that uses the anti-Dice distance for binary data.
BinaryDice Represents a distance measure that uses the Dice distance for binary data.
BinaryHamann Represents a distance measure that uses the Hamann distance for binary data.
BinaryJaccard Represents a distance measure that uses the Jaccard distance for binary data.
BinaryKulczynski Represents a distance measure that uses the Kulczynski distance for binary data.
BinaryMatching Represents a distance measure that uses the binary matching distance.
BinaryOchiai Represents a distance measure that uses the Ochiai distance for binary data.
BinaryPearson Represents a distance measure that uses the Pearson distance for binary data.
BinaryRogers Represents a distance measure that uses the Rogers distance for binary data.
BinaryRussell Represents a distance measure that uses the Russell distance for binary data.
BinarySneath Represents a distance measure that uses the Sneath distance for binary data.
BinaryYule Represents a distance measure that uses the Yule distance for binary data.
CanberraDistance Represents a distance measure that uses the so-called Canberra distance.
CorrelationDistance Represents a distance measure that uses the correlation between the two observations.
CosineDistance Represents a distance measure that uses the cosine of the angle between the observations.
Default Represents the default distance measure: squared Euclidean distance.
EuclideanDistance Represents a distance measure that uses the standard Euclidean distance.
ManhattanDistance Represents a distance measure that uses the Manhattan (city block) distance.
MaximumDistance Represents a distance measure that uses the largest difference between corresponding components as the distance.
SquaredEuclideanDistance Represents a distance measure that uses the squared Euclidean distance.

See Also