Dynamically get the suggested clusters in the data for unsupervised learning.

Everything you could wish for in a library called RoboPoker. Full suite of data structures, algorithms, solvers, ML models, and more.

k-means clustering library and binary to find dominant colors in images

A CLI tool to find the dominant colours in an image 🎨

🎨 Color palette generator from an image using WebAssesmbly and Rust

Generate a color palette from an image using k-means clustering in the Oklab color space.

Fast and high quality image quantization and palette generation.

Optimal univariate k-means clustering using dynamic programming

The aim of this project is to implement the k-means algorithm using Rust-lang. The source code includes a parallel implementation in Rayon.

Fast, safe K-Means++ with SIMD acceleration, mini-batch training and WASM support

Symbol Deep Clustering in a cohesive library for the Rust programming language.

A pipe-friendly command-line tool for k-means clustering and neighbor analysis. Built around Unix principles: read from stdin, write to stdout, and stay composable. Ideal for shell pipelines, data exploration, and automation on macOS and Linux.

Image color quantizer with K-means clustering

Dense clustering primitives (k-means, DBSCAN, etc.)

K Clustering algorithms implemented in Rust Programming Language

k-means in rust with image posterization / quantization

Simple implementation of the kmeans clustering algorithm in rust. Mainly for learning purposes.