Class Jaccard

Jaccard (Index) distance.
Inheritance
System.Object
Jaccard
Implements
ISimilarity<System.Double[]>
ISimilarity<System.Double[], System.Double[]>
IDistance<System.Double[]>
IDistance<System.Double[], System.Double[]>
System.ICloneable
Inherited Members
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.ToString()
Namespace: Mars.Numerics.Distances
Assembly: Mars.Numerics.dll
Syntax
[Serializable]
public class Jaccard : ISimilarity<double[]>, ISimilarity<double[], double[]>, IDistance<double[]>, IDistance<double[], double[]>, ICloneable
Remarks

The Jaccard index, also known as the Jaccard similarity coefficient (originally coined coefficient de communauté by Paul Jaccard), is a statistic used for comparing the similarity and diversity of sample sets. The Jaccard coefficient measures similarity between finite sample sets, and is defined as the size of the intersection divided by the size of the union of the sample sets.

References:

Methods

| Improve this Doc View Source

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.
Remarks

The Jaccard index, also known as the Jaccard similarity coefficient (originally coined coefficient de communauté by Paul Jaccard), is a statistic used for comparing the similarity and diversity of sample sets. The Jaccard coefficient measures similarity between finite sample sets, and is defined as the size of the intersection divided by the size of the union of the sample sets.

References:

See Also
| Improve this Doc View Source

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.
Remarks

The Jaccard index, also known as the Jaccard similarity coefficient (originally coined coefficient de communauté by Paul Jaccard), is a statistic used for comparing the similarity and diversity of sample sets. The Jaccard coefficient measures similarity between finite sample sets, and is defined as the size of the intersection divided by the size of the union of the sample sets.

References:

See Also
| Improve this Doc View Source

Similarity(Double[], Double[])

Gets a similarity measure between two points.
Declaration
public double Similarity(double[] x, double[] y)
Parameters
Type Name Description
System.Double[] x The first point to be compared.
System.Double[] y The second point to be compared.
Returns
Type Description
System.Double A similarity measure between x and y.
Remarks

The Jaccard index, also known as the Jaccard similarity coefficient (originally coined coefficient de communauté by Paul Jaccard), is a statistic used for comparing the similarity and diversity of sample sets. The Jaccard coefficient measures similarity between finite sample sets, and is defined as the size of the intersection divided by the size of the union of the sample sets.

References:

See Also
| Improve this Doc View Source

Similarity(Single[], Single[])

Gets a similarity measure between two points.
Declaration
public float Similarity(float[] x, float[] y)
Parameters
Type Name Description
System.Single[] x The first point to be compared.
System.Single[] y The second point to be compared.
Returns
Type Description
System.Single A similarity measure between x and y.
Remarks

The Jaccard index, also known as the Jaccard similarity coefficient (originally coined coefficient de communauté by Paul Jaccard), is a statistic used for comparing the similarity and diversity of sample sets. The Jaccard coefficient measures similarity between finite sample sets, and is defined as the size of the intersection divided by the size of the union of the sample sets.

References:

See Also

Implements

System.ICloneable

Extension Methods

See Also