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kmeans's Introduction

kmeans

The purpose of this project is to implement a version of kmeans as a python module written in Rust. The goal is a better performing kmeans module for python, than is currently available through packages like sklearn.

Usage

Build

Due to the use of the pyo3 crate, it requires a nightly version of rustc to build this package. Luckily the version of your rust compiler is easily handled by Rustup.

To install Rustup follow the instructions at https://www.rust-lang.org/tools/install

The following build command should be used while in the root directory of this repository cargo build --release to build the package.

Using the module

When you have build the package, you can move the dynamic library that is the output of the compilation, to the directory of your python project, and import it with import libedist.

an example of modules use, can be found in the benchmark script in benches/pythonbench.py.

Future plans for distribution

When the project is more mature, it is planned to distribute the package via Pypi, to be installed with pip as any other python module.

kmeans's People

Contributors

dalfoss avatar

kmeans's Issues

Add centroid initialization

Instead of providing a list of centroids, one should just provide an integer number, that represents the amount of centroids wanted.

The best initialization model is TBD.

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