https://github.com/antononcube/raku-math-distancefunctions

Raku package for the computation of various distance functions.
https://github.com/antononcube/raku-math-distancefunctions

bray-curtis-distance canberra-distance cosine-distance distance-functions euclidean-distance hamming-distance manhattan-distance raku

Last synced: about 2 months ago
JSON representation

Raku package for the computation of various distance functions.

• Host: GitHub
• URL: https://github.com/antononcube/raku-math-distancefunctions
• Owner: antononcube
• License: artistic-2.0
• Created: 2024-05-31T21:49:34.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-11-25T18:54:06.000Z (2 months ago)
• Last Synced: 2024-11-25T19:41:28.063Z (2 months ago)
• Topics: bray-curtis-distance, canberra-distance, cosine-distance, distance-functions, euclidean-distance, hamming-distance, manhattan-distance, raku
• Language: Raku
• Homepage: https://raku.land/zef:antononcube/Math::DistanceFunctions
• Size: 25.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README-work.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Math::DistanceFunctions

Raku package with a collection of mathematical distance functions and a corresponding role.

The content of this package was "factored out" from 

["ML::Clustering"](https://raku.land/zef:antononcube/ML::Clustering), [AAp1].  

Faster versions of these functions are implemented in 

["Math::DistanceFunctions::Native"](https://github.com/antononcube/Raku-Math-DistanceFunctions-Native), [AAp2].

A special package has the "edit distance" (aka Damerau-Levenshtein distance) -- see

["Math::DistanceFunctions::Edit"](https://github.com/antononcube/Raku-Math-DistanceFunctions-Edit), [AAp3].

------

## Installation

From Zef ecosystem:

```

zef install Math::DistanceFunctions

```

From GitHub:

```

zef install https://github.com/antononcube/Raku-Math-DistanceFunctions.git

```

-----

## Usage examples

```perl6

use Math::DistanceFunctions;

my @v1 = 10.rand xx 10;

my @v2 = 2.rand xx 10;

my @funcs = [

    :&bray-curtis-distance,

    :&canberra-distance,

    :&chessboard-distance,

    :&cosine-distance,

    :&dot-product,

    :&euclidean-distance,

    :&hamming-distance,

    :&manhattan-distance,

    :&squared-euclidean-distance

];

for @funcs -> $p {

    say "{$p.key} : {$p.value.(@v1, @v2)}";

}

```

-----

## References

[AAp1] Anton Antonov, [ML:Clustering Raku package](https://github.com/antononcube/Raku-ML-Clustering), (2022), [GitHub/antononcube](https://github.com/antononcube). 

[AAp2] Anton Antonov, 

[Math::DistanceFunctions::Edit Raku package](https://github.com/antononcube/Raku-Math-DistanceFunctions-Edit), 

(2024), 

[GitHub/antononcube](https://github.com/antononcube). 

[AAp3] Anton Antonov, 

[Math::DistanceFunctions::Native Raku package](https://github.com/antononcube/Raku-Math-DistanceFunctions-Native), 

(2024), 

[GitHub/antononcube](https://github.com/antononcube).