package prbnmcn-clustering

  1. Overview
  2. Docs
Clustering library

Install

Dune Dependency

Authors

Maintainers

Sources

0.0.1.tar.gz
md5=a32385f08db7e94de4f167cf87b03df0
sha512=e0c9c281ccdcd5a10ed3ff6e74362aab10c44767fa6edc20f4f55e67843a5eb2efcbff5cb23052bfc3df752876151585ee4c76090f7b1fae77990f4acee81b69

Description

Clustering with K-means, K-medoids and agglomerative clustering

Published: 27 Apr 2021

README

prbnmcn-clustering

This library implements the following clustering algorithms:

  • K-means

  • K-medoids (using either 'Partition Around Medoids' or the 'Voronoi Iteration' algorithms)

  • Agglomerative clustering (yielding dendrograms)

A basic example can be found in the test subdirectory.

Multi-start routines are also available to pick the best out of n initial clusterings. At the time of writing, the implementation is entirely sequential.

TODOs

  • many low-hanging fruits for optimization

  • implement parallel multi-start routine when multicore lands

Dependencies (2)

  1. ocaml >= "4.08.0"
  2. dune >= "2.8"

Dev Dependencies (1)

  1. odoc with-doc

Used by

None

Conflicts

None

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