wink-distance
v2.0.2
Distance/Similarity functions for Bag of Words, Strings, Numbers, Dates and Vectors.
27.0K/weekUpdated 3 years agoMITUnpacked: 93.2 KB
Published by Sanjaya Kumar Saxena
npm install wink-distancewink-distance
Distance/Similarity functions for Bag of Words, Strings, Vectors and more.
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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,
1. Jaccard & Tversky for Sets,
1. Jaro, Jaro-Winkler, and Levenshtien for string,
1. Chebyshev and Taxicab for vectors.
> Combine wink-distance with WinkNLP to build awesome NLP apps.
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Use npm to install:
npm install wink-distance --save
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Check out the distance/similarity API documentation to learn more.
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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.
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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.
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wink-distance is copyright 2017-23 GRAYPE Systems Private Limited.
It is licensed under the terms of the MIT License.