https://github.com/fl9/kurasuta

Clustering library for Elixir
https://github.com/fl9/kurasuta

clustering kmeans machine-learning

Last synced: 9 months ago
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Clustering library for Elixir

• Host: GitHub
• URL: https://github.com/fl9/kurasuta
• Owner: fl9
• License: mit
• Created: 2017-07-04T18:22:39.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2017-07-09T18:38:54.000Z (almost 9 years ago)
• Last Synced: 2025-09-27T01:43:27.477Z (9 months ago)
• Topics: clustering, kmeans, machine-learning
• Language: Elixir
• Homepage:
• Size: 5.86 KB
• Stars: 12
• Watchers: 1
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Kurasuta [![Travis](https://img.shields.io/travis/fl9/kurasuta.svg)](https://travis-ci.org/fl9/kurasuta) [![Hex.pm](https://img.shields.io/hexpm/v/kurasuta.svg)](https://hex.pm/packages/kurasuta)

Cluster your data with Elixir. This is work in progress, so please use with care.

## Currently implemented cluster algorithms

- k-means

## Future plans

- Implementation of other cluster algorithms, e.g., DBSCAN

- Code optimization

- Improvement of documentation

## Installation

Install by adding `kurasuta` to your list of dependencies in `mix.exs`:

```elixir

def deps do

  [{:kurasuta, "~> 0.1.0"}]

end

```

Then, update your dependencies with `mix deps.get`.

## Usage

Currently only the k-means algorithm is available. For a working example with a two-dimensional list as data, see [`KurasutaTest`](test/kurasuta_test.exs).

## License

Licensed under MIT, see [`LICENSE`](LICENSE).