clustering

Library Listed

easy way to perform kmeans clustering on arbitrary data

Checked · Sources

Downloads
1,632
Dependents
3
Stars
6
Forks
4
Contributors
1
Commits
10
Latest release
0.2.2 ·

About

From the project README ·

This crate provides an easy and efficient way to perform kmeans clustering on arbitrary data. The algo is initialized with kmeans++ for best performance of the clustering.

There are three goals to this implementation of the kmeans algorithm:

  1. it must be generic
  2. it must be easy to use
  3. it must be reasonably fast

Important Note

Depending on your execution environment and the size of the dataset you aim to cluster; your code might benefit from parallelisation (this can mean massive performance improvements for large problems). Should you want to enable the multithreaded behavior, then add the "parallel" feature to your dependencies.

# To enable multithreading during clustering, add the "parallel" feature
# to your dependency.
[dependencies]
clustering = {version = "0.2.0", features = ["parallel"]}

# If all you aim for it a sequential clustering, just leave that feature out.
[dependencies]
clustering = {version = "0.2.0"}
Read the full README

Example

use clustering::*;

let n_samples    = 20_000; // # of samples in the example
let n_dimensions =    200; // # of dimensions in each sample
let k            =      4; // # of clusters in the result
let max_iter     =    100; // max number of iterations before the clustering forcefully stops

// Generate some random data
let mut samples: Vec<Vec<f64>> = vec![];
for _ in 0..n_samples {
    samples.push((0..n_dimensions).map(|_| rand::random()).collect::<Vec<_>>());
}

// actually perform the clustering
let clustering = kmeans(k, &samples, max_iter);

println!("membership: {:?}", clustering.membership);
println!("centroids : {:?}", clustering.centroids);

Features

This crate comes with two optional features:

  • parallel which enables multithreaded dispatch with rayon (thanks to @jean-pierreBoth 's contribution)
  • logging which you can use to log when clustering takes shortcuts.
Runs on
GPU support unknown
What shows it
  • no dependency or feature matches a backend row
Native code
None found
  • No native code found
Python bindings
No Python binding crate found
License
MIT

Compare with similar projects

Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days. ML Rust runs this catalogue, so its closest project always gets a row.

clustering beside the projects that share a topic with it
ProjectDownloadsDependentsStarsLatest releaseRuns on (GPU)Native codeLicense
clustering This page Listed

easy way to perform kmeans clustering on arbitrary data

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kmeans_colors Listed Dormant

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treeboost Listed

Gradient-boosted decision trees for tabular data: trains a baseline model in one call, with full control over boosting modes and configs, and Scalar, AVX-512, SVE2, WGPU and CUDA backends.

Python bindings

18 downloads over 30 days 0 9 0.1.2 CUDA, WebGPU No native code found Apache-2.0
Why ListedNo archive, New or Featured rule places it, so it is Listed.

What it lacks for Featured

  • It has 2 active dependents and 1 new dependents in 365 days. Featured needs 11 active dependents or 9 new dependents in 365 days. The repository route reads 6 stars, 4 forks and 1 contributor. It needs 4,539 stars, 434 forks and 79 contributors together.

What else the check found

  • The last activity is on 21 Nov 2025, 353 days ago. The rules expect an update within 365 days. Dormancy rule
  • The oldest outside issue waits 751 days for a reply, past the limit of 270. No maintainer replied in 365 days. Rot signals rule

Exact rules: Listed, Featured library. The check on applied thresholds version 9.

Every rule outcome, as the check records it
  • expected-interval: version 0.2.2 base 300, capped at 4 releases = 200, raised to the 365-day floor: E = 365 days
  • dormancy: last activity 2025-11-21, 353 days ago, E = 365: active
  • rot: oldest unanswered issue 751 days (limit 270), no maintainer reply in 365 days
  • featured: not featured: active_users 2 < 11 and new_adopters 1 < 9 and repository route stars 6 (needs 4539), forks 4 (needs 434), contributors 1 (needs 79)
  • listed: listed: no archive, new or featured rule applies

Measurements and sources

Each signal row shows the raw value, its source and the fetch date. The Sources list gathers every distinct source on this page. Movement needs more history.

Sources6 sources
Adoption2 active dependents, 1 new dependents in 365 days1 not measured
Adoption measurements
SignalValueSourceFetchedCounts
Active dependents2crates.io database dumpYes
New dependents (365 days)1crates.io database dumpYes
Peak active dependents2.5crates.io database dumpYes
Active dependents as a share of the peak1crates.io database dumpYes
Binary downloads per releaseNot measuredYes
MaintenanceLatest human commit: 11 months ago3 not measured
Maintenance measurements
SignalValueSourceFetchedCounts
Latest human commit2025-11-21GitHub repositoryYes
Latest release2025-11-21crates.io database dumpYes
First release2022-11-14crates.io database dumpYes
Latest version0.2.2crates.io database dumpYes
Days the oldest outside issue waits for a reply751GitHub repositoryYes
Maintainer replies over 365 days0GitHub repositoryYes
Repository archivedfalseGitHub repositoryYes
Repository gonefalseGitHub repositoryYes
Release commit or manifest in the repotruecrates.io packageYes
Published docstruecrates.io database dumpYes
Latest release fails cargo checkNot measuredYes
Build check dateNot measuredYes
Build check toolchainNot measuredYes
SecurityUnpatched vulnerabilities: none
Security measurements
SignalValueSourceFetchedCounts
Unpatched vulnerabilities past the grace windownoneRustSec advisory databaseYes
RustSec unmaintained advisorynoneRustSec advisory databaseYes
Deprecation noticenonecrates.io database dumpYes
Deprecated requirementnonecrates.io database dumpYes
Distribution4 releases, 1,632 downloads over 30 days5 not measured
Distribution measurements
SignalValueSourceFetchedCounts
Releases4crates.io database dumpYes
Downloads over 30 days1632crates.io database dumpYes
Binary downloads over the last 3 releasesNot measuredYes
Homebrew installs on request over 365 daysNot measuredYes
Repology repository familiesNot measuredYes
Docker pull growth over 90 daysNot measuredYes
Docker pulls at the growth baselineNot measuredYes
Every version a prereleasefalsecrates.io database dumpYes
Every version 0.0.xfalsecrates.io database dumpYes
Every version yankedfalsecrates.io database dumpYes
Crate deleted from crates.iofalsecrates.io database dumpYes
Repository6 stars, 4 forks, 1 contributors, 10 commits. Stars alone never qualify a project.
Repository measurements
SignalValueSourceFetchedCounts
GitHub stars6GitHub repositoryYes — one part of the repository route
GitHub forks4GitHub repositoryYes — one part of the repository route
Contributors with a GitHub account1GitHub contributorsYes — one part of the repository route
Commits on the default branch10GitHub repositoryNo
Repository's main crate left out of the entrynonecrates.io database dumpYes
Facts that never count
Facts that never count measurements
SignalValueSourceFetchedCounts
LicenseMITcrates.io database dumpNo
Runs on, from listed crates and their direct dependenciesGPU support unknowncrates.io database dumpNo
What shows each backendno dependency or feature matches a backend rowcrates.io database dumpNo
Native code, from listed crates and their dependenciesNo native code foundcrates.io database dumpNo
Python bindings, from direct dependencies of listed cratesNo Python binding crate foundcrates.io database dumpNo
Crates that depend on a listed crate directly3crates.io database dumpNo

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