Accord.NET Framework

## JaccardT Structure |

Jaccard (Index) distance.

Syntax

[SerializableAttribute] public struct Jaccard<T> : ISimilarity<T[]>, ISimilarity<T[], T[]>, IMetric<T[]>, IDistance<T[]>, IDistance<T[], T[]> where T : Object, IEquatable<T>

- T
- The type of the elements in the arrays to be compared.

The JaccardT type exposes the following members.

Methods

Name | Description | |
---|---|---|

Distance |
Computes the distance d(x,y) between points
x and y.
| |

Equals | Indicates whether this instance and a specified object are equal. (Inherited from ValueType.) | |

GetHashCode | Returns the hash code for this instance. (Inherited from ValueType.) | |

GetType | Gets the Type of the current instance. (Inherited from Object.) | |

Similarity |
Gets a similarity measure between two points.
| |

ToString | Returns the fully qualified type name of this instance. (Inherited from ValueType.) |

Extension Methods

Name | Description | |
---|---|---|

HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) | |

IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) | |

To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) | |

ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |

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