Standard.Data.StringMetrics 2.1.0

Commonly used algorithms for measuring string distance, including Levenstein distance, block distance, Chapman length deviation, cosine similarity, Dice similarity, Euclidean distance, Jaccard similarity, Jaro, Jaro Winkler, matching coefficient, Monge Elkan, Needleman Wunch, overlapping coefficient, Q-Gram distance, Smith Waterman, Smith Waterman Gotoh, Smith Waterman Gotoh windowed affine, and Chapman mean length.

Install-Package Standard.Data.StringMetrics -Version 2.1.0
dotnet add package Standard.Data.StringMetrics --version 2.1.0
<PackageReference Include="Standard.Data.StringMetrics" Version="2.1.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Standard.Data.StringMetrics --version 2.1.0
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Release Notes

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Version History

Version Downloads Last updated
2.1.0 655 6/6/2018