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    wink-distance

    2.0.1 • Public • Published

    wink-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,
    2. Jaccard & Tversky for Sets,
    3. Jaro, Jaro-Winkler, and Levenshtien for string,
    4. Chebyshev and Taxicab for vectors.

    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 2017-18 GRAYPE Systems Private Limited.

    It is licensed under the terms of the MIT License.

    Install

    npm i wink-distance

    DownloadsWeekly Downloads

    2,131

    Version

    2.0.1

    License

    MIT

    Unpacked Size

    54 kB

    Total Files

    21

    Homepage

    winkjs.org/

    Last publish

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