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wink-distance

v2.0.2

Published

Distance/Similarity functions for Bag of Words, Strings, Numbers, Dates and Vectors.

Downloads

20,620

Vulnerabilities

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Links

Git

Maintainers

sanjayasanjayar4chn4r4chn4prtksxnaprtksxna

Keywords

DistanceSimilarityNLPBag of WordsStringsVectorsChebyshevCosineHammingJaccardJaroManhattanSoundexTverskyTaxicabwinkwinkJS

Readme

wink-distance

Distance/Similarity functions for Bag of Words, Strings, Vectors and more.

Build Status Coverage Status Gitter

Compute distances or similarities needed for NLP, de-duplication and clustering using wink-distance. Some of the methods are listed below:

  1. Cosine similarity for Bag of Words,
  2. Jaccard & Tversky for Sets,
  3. Jaro, Jaro-Winkler, and Levenshtien for string,
  4. Chebyshev and Taxicab for vectors.

Combine wink-distance with WinkNLP to build awesome NLP apps.

Installation

Use npm to install:

npm install wink-distance --save

Documentation

Check out the distance/similarity API documentation to learn more.

Need Help?

If you spot a bug and the same has not yet been reported, raise a new issue or consider fixing it and sending a pull request.

About wink

Wink is a family of open source packages for Statistical Analysis, Natural Language Processing and Machine Learning in NodeJS. The code is thoroughly documented for easy human comprehension and has a test coverage of ~100% for reliability to build production grade solutions.

Copyright & License

wink-distance is copyright 2017-23 GRAYPE Systems Private Limited.

It is licensed under the terms of the MIT License.