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wink-distance
Advanced tools
wink-distance
Distance/Similarity functions for Bag of Words, Strings, Numbers, Dates and Vectors.
wink-distance
Distance/Similarity functions for Bag of Words, Strings, Vectors and more.
Compute distances or similarities needed for NLP, de-duplication and clustering using wink-distance. Some of the methods are listed below:
- Cosine similarity for Bag of Words,
- Jaccard & Tversky for Sets,
- Jaro, Jaro-Winkler, and Levenshtien for string,
- Chebyshev and Taxicab for vectors.
Combine
wink-distancewith 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.
FAQs
Distance/Similarity functions for Bag of Words, Strings, Numbers, Dates and Vectors.
The npm package wink-distance receives a total of 3,760 weekly downloads. As such, wink-distance popularity was classified as popular.
We found that wink-distance demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 3 open source maintainers collaborating on the project.
Package last updated on 14 Jan 2023
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