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    Class Minkowski

    The Minkowski distance is a metric in a normed vector space which can be considered as a generalization of both the Euclidean and the Manhattan.
    Inheritance
    System.Object
    Minkowski
    Implements
    IMetric<System.Double[]>
    IDistance<System.Double[]>
    IDistance<System.Double[], System.Double[]>
    IMetric<System.Int32[]>
    IDistance<System.Int32[]>
    IDistance<System.Int32[], System.Int32[]>
    ICloneable
    Namespace: Mars.Numerics.Distances
    Assembly: Mars.Numerics.dll
    Syntax
    public class Minkowski : object, IMetric<double[]>, IDistance<double[]>, IDistance<double[], double[]>, IMetric<int[]>, IDistance<int[]>, IDistance<int[], int[]>, ICloneable
    Remarks

    The framework distinguishes between metrics and distances by using different types for them. This makes it possible to let the compiler figure out logic problems such as the specification of a non-metric for a method that requires a proper metric (i.e. that respects the triangle inequality).

    The objective of this technique is to make it harder to make some mistakes. However, it is possible to bypass this mechanism by using the named constructors such as Nonmetric(Double) to create distances implementing the IMetric<T> interface that are not really metrics. Use at your own risk.

    Constructors

    Minkowski(Double)

    Initializes a new instance of the Minkowski class.
    Declaration
    public Minkowski(double p)
    Parameters
    Type Name Description
    System.Double p The Minkowski order p.

    Fields

    Euclidean

    Gets the Euclidean distance as a special case of the Minkowski distance.
    Declaration
    public static readonly Minkowski Euclidean
    Field Value
    Type Description
    Minkowski

    Manhattan

    Gets the Manhattan distance as a special case of the Minkowski distance.
    Declaration
    public static readonly Minkowski Manhattan
    Field Value
    Type Description
    Minkowski

    Properties

    Order

    Gets the order p of this Minkowski distance.
    Declaration
    public double Order { get; }
    Property Value
    Type Description
    System.Double

    Methods

    Clone()

    Creates a new object that is a copy of the current instance.
    Declaration
    public object Clone()
    Returns
    Type Description
    System.Object A new object that is a copy of this instance.

    Distance(Double[], Double[])

    Computes the distance d(x,y) between points x and y.
    Declaration
    public double Distance(double[] x, double[] y)
    Parameters
    Type Name Description
    System.Double[] x The first point x.
    System.Double[] y The second point y.
    Returns
    Type Description
    System.Double A double-precision value representing the distance d(x,y) between x and y according to the distance function implemented by this class.

    Distance(Int32[], Int32[])

    Computes the distance d(x,y) between points x and y.
    Declaration
    public double Distance(int[] x, int[] y)
    Parameters
    Type Name Description
    System.Int32[] x The first point x.
    System.Int32[] y The second point y.
    Returns
    Type Description
    System.Double A double-precision value representing the distance d(x,y) between x and y according to the distance function implemented by this class.

    Nonmetric(Double)

    Creates a non-metric Minkowski distance, bypassing argument checking. Use at your own risk.
    Declaration
    public static Minkowski Nonmetric(double p)
    Parameters
    Type Name Description
    System.Double p The Minkowski order p.
    Returns
    Type Description
    Minkowski A Minkowski object implementing a Minkowski distance that is not necessarily a metric. Use at your own risk.

    Implements

    IMetric<T>
    IDistance<T>
    IDistance<TFirst, TSecond>
    IMetric<T>
    IDistance<T>
    IDistance<TFirst, TSecond>
    ICloneable

    Extension Methods

    DomainDataImporter.Import(Object, InputConfiguration)
    ObjectSerialize.Serialize(Object)
    Serializer.Save<T>(T, Stream, SerializerCompression)
    Serializer.Save<T>(T, BinaryFormatter, Stream, SerializerCompression)
    Serializer.Save<T>(T, String)
    Serializer.Save<T>(T, String, SerializerCompression)
    Serializer.Save<T>(T, out Byte[], SerializerCompression)
    Matrix.Replace<T>(T, Object, Object)
    Matrix.IsEqual(Object, Object, Decimal, Decimal)
    Matrix.Concatenate<T>(T, T[])
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