Levenshtein Structure |
Namespace: Accord.Math.Distances
The Levenshtein type exposes the following members.
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.) | |
ToString | Returns the fully qualified type name of this instance. (Inherited from ValueType.) |
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.) |
In information theory and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. Informally, the Levenshtein distance between two words is the minimum number of single-character edits (i.e. insertions, deletions or substitutions) required to change one word into the other. It is named after Vladimir Levenshtein, who considered this distance in 1965.
Levenshtein distance may also be referred to as edit distance, although that may also denote a larger family of distance metrics. It is closely related to pairwise string alignments.
References: