ParallelKMeans

---

Authors: Bernard Brenyah & Andrey Oskin

---

Table Of Content

1. Documentation
2. Installation
3. Features
4. License

---

Documentation

• Stable Documentation:

• Experimental Documentation:

---

Installation

You can grab the latest stable version of this package by simply running in Julia. Don't forget to Julia's package manager with ]

pkg> add ParallelKMeans

For the few (and selected) brave ones, one can simply grab the current experimental features by simply adding the experimental branch to your development environment after invoking the package manager with ]:

pkg> add ParallelKMeans#experimental

To revert to a stable version, you can simply run:

pkg> free ParallelKMeans

---

Features

• Lightening fast implementation of Kmeans clustering algorithm even on a single thread in native Julia.
• Support for multi-theading implementation of K-Means clustering algorithm.
• Kmeans++ initialization for faster and better convergence.
• Implementation of all the variants of the K-Means algorithm.

---

License