K-Means Packages

Implementation of the k-means clustering algorithm

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

various machine learning routines for node

node wrapper around python implementation of k-means using numpy

K-Means Clustering 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).

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

node wrapper around python implementation of k-means using numpy

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

K-MeansJS contains all the necessary logic for clustering unsupervised n-dimensional data.

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

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

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

K-Means to categorize texts using natural algorithm

A simple k-means clustering implement.

Configurable k-means & k-medians (with k-means++ initialization) for n-D vectors

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

Incrementally partition data into `k` clusters.

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

Removes colors from an image file