JSPM

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

K-Means clustering

Hierarchical clustering algorithms

kmeans clustering in JS

node wrapper around python implementation of k-means using numpy

find clusters in coordinates

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

Financial Technical Analysis in JavaScript

kmeans plus plus, in typescript!

A fast, efficient k-means clustering implementation in TypeScript

Color Quantiliaztion in vanilla Javascript for browser/Nodejs, powered by an optimized k-means algorithm.

k-means with k-means++-initialization

Machine learning library for Node.js. You can also use this library in browser.

A k-means implementation for JavaScript

Machine Learning library for node.js

Scalable kmeans clustering algorithm in js using objects as input vectors, tailor made for sparse matrix

A simple data mining library, written in TypeScript

A Library for Calculating K-Means using Tensorflow

A library for creating and managing embeddings with PCA and k-means clustering.

Incrementally partition data into `k` clusters.

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

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

轻量化kd-tree搜索方法

A Library for Calculating K-Means using Tensorflow, add save model function, for nodejs

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

Utility library for calculating cosine similarity thresholds

Machine Learning library for skale-engine

K-Means implementation in JavaScript

k-means clustering in TypeScript

Train machine learning models in pure Javascript using battle-tested implementations that improve on Python's sklearn and R's caret.

A Library for Calculating K-Means using Tensorflow

Gap statistic for kmeans analysis

High-performance TypeScript clustering algorithms (K-Means, Spectral, Agglomerative) with TensorFlow.js acceleration and scikit-learn compatibility

A Library for Calculating K-Means using Tensorflow, for browser

node wrapper around python implementation of k-means using numpy

Implementation of the k-means clustering algorithm

K means clustering on colors

Clusters an array of vectors into k clusters using k-means (using random initial centroids and Euclidean as the distance function).

K-Means clustering of multi-dimensional observations using TypeScript and Node

a tool for calculating the result of suggestion with kmeans algorithm

Simple kmean clustering

A wasm library for finding the dominant colors in an image using kmeans clustering

kmeans clustering in JS

kmeans

an implementation of the kmeans quantization algorithm

A library to extract dominant colors from images.

Sidecar SDK for topic clustering with Moss