DistanceMetrics (FSharp.Stats)

DistanceMetrics Module

Namespace: FSharp.Stats
Assembly: FSharp.Stats.dll

Functions for computing distances of elements or sets

Types and nested modules

Type/Module	Description
Array
Vector
Distance<'a>	Signiture type for distance functions

Functions and values

Function or value	Description
`cityblock s1 s2` Full Usage: `cityblock s1 s2` Parameters: s1 : `seq<^a>` - s2 : `seq<^a>` - Returns: `float` Modifiers: inline Type parameters: ^a, ^b	Cityblock distance of two coordinate float sequences s1 : `seq<^a>` s2 : `seq<^a>` Returns: `float` Example
`cityblockNaN s1 s2` Full Usage: `cityblockNaN s1 s2` Parameters: s1 : `seq<float>` - s2 : `seq<float>` - Returns: `float`	Cityblock distance of two coordinate float sequences s1 : `seq<float>` s2 : `seq<float>` Returns: `float` Example
`dissimilarity v1 v2` Full Usage: `dissimilarity v1 v2` Parameters: v1 : `seq<^b>` v2 : `seq<^b>` Returns: `float` Modifiers: inline Type parameters: ^b	"Dissimilarity" uses 1. - pearsons correlation coefficient v1 : `seq<^b>` v2 : `seq<^b>` Returns: `float`
`euclidean s1 s2` Full Usage: `euclidean s1 s2` Parameters: s1 : `seq<^a>` - s2 : `seq<^a>` - Returns: `^f` Modifiers: inline Type parameters: ^a, ^d, ^e, ^f	Euclidean distance of two coordinate sequences s1 : `seq<^a>` s2 : `seq<^a>` Returns: `^f` Example
`euclideanNaN s1 s2` Full Usage: `euclideanNaN s1 s2` Parameters: s1 : `seq<float>` - s2 : `seq<float>` - Returns: `float`	Euclidean distance of two coordinate float sequences (ignores nan) s1 : `seq<float>` s2 : `seq<float>` Returns: `float` Example
`euclideanNaNSquared s1 s2` Full Usage: `euclideanNaNSquared s1 s2` Parameters: s1 : `seq<float>` - s2 : `seq<float>` - Returns: `float`	Squared Euclidean distance of two coordinate float sequences (ignores nan) s1 : `seq<float>` s2 : `seq<float>` Returns: `float` Example
`hamming s1 s2` Full Usage: `hamming s1 s2` Parameters: s1 : `'a` - first sequence s2 : `'a` - second sequence Returns: `int` Hamming distance between elements of given sequences Modifiers: inline	Calculates Hamming distance of two coordinate items Note, distance between Nan and Nan is equal to 1 s1 : `'a` first sequence s2 : `'a` second sequence Returns: `int` Hamming distance between elements of given sequences Example `// e.g. s1 and s2 initialization let s1 = seq {1; 2; 3} let s2 = seq {9; 2; 3} // Apply the hamming to s1 and s2 hamming s1 s2`
`minkowski s1 s2 p` Full Usage: `minkowski s1 s2 p` Parameters: s1 : `seq<^a>` - first sequence s2 : `seq<^a>` - second sequence p : `float` - float constrained to `p > 0` Returns: `float option` Minkowski distance between elements of given sequences. Returns NaN if sequences contain NaN. Modifiers: inline Type parameters: ^a	The [Minkowski distance](https://en.wikipedia.org/wiki/Minkowski_distance) between two sequence of order `p`. The two sequences need not have equal lengths: when one sequence is exhausted any remaining elements in the other sequence are ignored. s1 : `seq<^a>` first sequence s2 : `seq<^a>` second sequence p : `float` float constrained to `p > 0` Returns: `float option` Minkowski distance between elements of given sequences. Returns NaN if sequences contain NaN. Example `// e.g. a1 and a2 initialization let s1 = seq { 3.14; 2.0; 3.1 } let s2 = { 9.1; 2.5; 3.7 } // Apply the minkowski distance to s1 and s2 minkowski s1 s2 3`
`minkowskiNaN s1 s2 p` Full Usage: `minkowskiNaN s1 s2 p` Parameters: s1 : `seq<^a>` s2 : `seq<^a>` p : `float` Returns: `float option` Modifiers: inline Type parameters: ^a	The [Minkowski distance](https://en.wikipedia.org/wiki/Minkowski_distance) between two sequences (ignores NaN) of order `p`. Non-regular differences between the sequences are ignored. The two sequences need not have equal lengths: when one sequence is exhausted any remaining elements in the other sequence are ignored. first sequence second sequence float constrained to `p > 0` Minkowski distance between elements of given sequences. `// e.g. a1 and a2 initialization let s1 = seq { 3.14; 2.0; 3.1 } let s2 = { 9.1; 2.5; 3.7 } // Apply the minkowski distance to s1 and s2 minkowskiNaN s1 s2 3` s1 : `seq<^a>` s2 : `seq<^a>` p : `float` Returns: `float option`
`wagnerFischerLazy s t` Full Usage: `wagnerFischerLazy s t` Parameters: s : `string` - t : `string` - Returns: `int`	Levenshtein distance between s : `string` t : `string` Returns: `int` Example