JSPM

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

various machine learning routines for node

turf clusters-kmeans module

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

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

A typescript implementation of the k-means algorithm with different customization capabilities.

k-means & k-medians with customizable distance functions and centroid initializations for n-D vectors

node wrapper around python implementation of k-means using numpy

k-means based dominant color extraction from images/pixel buffers

Text tokenization, transformation & analysis transducers, utilities, stop words, porter stemming, vector encodings, similarities

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

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

k-means with k-means++-initialization

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

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

A tool for data PCA(Principle Component Analysis) and cluster(K-Means & K-Medoids).

Machine Learning library for node.js

A simple implementation of a single dimensional k-means-clustering algorithm.

Incrementally partition data into `k` clusters.

Extract color palettes from images with multiple algorithms and output formats

node wrapper around python implementation of k-means using numpy

轻量化kd-tree搜索方法

cluster the pixels of an image into arbitrary groups

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

A JS/TS implementation of the k-means algorithm.

turf clusters-kmeans module

Colors clustering based on K-means algorithm & CIE76. The seeds are extended color keywords from CSS Color Module Level 3 (W3C Recommendation 07 June 2011).

Javascript implementation that calculates the Silhouette coefficient of a clustering.

A Collection of Machine Learning algorithms built for use with NodeJS

various machine learning routines for node

k-means clustering in TypeScript

K-Means clustering.

Extends k-means to x-means implemented by node js

Removes colors from an image file

A javascript implementation of k-means clustering algorithm that include one/two dimentional arrays, and supports objects as well for coordinates

A library for extracting color palettes from images using various algorithms

Intelligent text batching library that uses k-means clustering to group sentences by length for optimal processing.

Implementation of the k-means clustering algorithm

Clustering geoJSON with k-means

A basic Javascript implementation of the cluster analysis algorithm.

K-Means Clustering Module

A fast and minimal wasm-compatible color quantization library written in Rust

A light js package to use color

K-Means to categorize texts using natural algorithm

kmeans

A simple k-means clustering implement.