kmeans - simple k-means implementation

Simple implementation of the k-means algortihm. A visualization for each iteration using matplotlib is created by default.

Requirements

recent enough python 3
(matplotlib and numpy (installable via pipenv))

Usage

usage: kmeans.py [-h] [-n CLUSTERS] [-r RANDOM_POINTS] [-d POINT_DIMENSIONS]
                 [--dont-visualize] [--max MAX] [--min MIN]

options:
  -h, --help            show this help message and exit
  -n CLUSTERS, --clusters CLUSTERS
  -r RANDOM_POINTS, --random-points RANDOM_POINTS
  -d POINT_DIMENSIONS, --point-dimensions POINT_DIMENSIONS
  --dont-visualize
  --max MAX
  --min MIN

License

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.