hclust

ml-hclust

Hierarchical clustering algorithms in JavaScript.

Installation

npm install ml-hclust

API Documentation

Usage

AGNES

const { agnes } = require('ml-hclust');

const tree = agnes(data, {
  method: 'ward',
});

Implemented algorithms

• 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: Hierarchical Clustering Using Dynamic Modeling

Test

npm install
npm test

Authors

• Miguel Asencio
• Michael Zasso

License

MIT