K-Means Packages

Super fast simple k-means and k-means++ clustering for unidimiensional and multidimensional data. Works in node and browser

turf clusters-kmeans module

various machine learning routines for node

Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.

Node.js asynchronous implementation of the clustering algorithm k-means

Simple Javascript implementation of the k-means algorithm, for node.js and the browser

Typedarray integer & float pixel buffers w/ customizable formats, blitting, drawing, convolution

A implementation of a variant of k-means algorithm to get groups from the waypoints with the same size

Implementation of the k-means algorithm to partition the values into the clusters.

A Collection of Machine Learning algorithms built for use with NodeJS

Machine Learning library for node.js

Implementation of the k-means-plus-plus algorithm to partition the values into the clusters.

`DataHunter is a module that acts as a black-box predicting information given a historical dataSet(an array of JavaScript objects)

k-means clustering in TypeScript

Implementation of the basic k-means algorithm to partition vectors into clusters.

K-Means clustering.

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turf clusters-kmeans module

Clustering geoJSON with k-means

k-means with k-means++-initialization