ml-hclust
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    3.1.0 • Public • Published

    hclust

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    Hierarchical clustering algorithms in JavaScript.

    Installation

    npm i ml-hclust

    API Documentation

    Usage

    AGNES

    const { agnes } = require('ml-hclust');
    
    const tree = agnes(data, {
      method: 'ward',
    });

    Implemented algorithms

    • [x] AGNES (AGglomerative NESting): Continuously merge nodes that have the least dissimilarity.
    • [ ] DIANA (Divisive ANAlysis): The process starts at the root with all the points as one cluster and recursively splits the higher level clusters to build the dendrogram.
    • [ ] BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies): Incrementally construct a CF (Clustering Feature) tree, a hierarchical data structure for multiphase clustering
    • [ ] CURE (Clustering Using REpresentatives):
    • [ ] CHAMELEON

    Test

    npm install
    npm test

    Authors

    License

    MIT

    Install

    npm i ml-hclust

    DownloadsWeekly Downloads

    1,532

    Version

    3.1.0

    License

    MIT

    Unpacked Size

    27.6 kB

    Total Files

    9

    Last publish

    Collaborators

    • stropitek
    • targos
    • lpatiny
    • mljs-bot
    • maasencioh
    • jeffersonh44
    • andcastillo