Welcome to GemClus documentation!
==============================================

Welcome and thank you for checking GEMINI out, this really pleasures us.

GEMINI is a clustering-dedicated function derived from information theory that allows to do clustering without hypotheses
on the data distributions. We try to provide overall some implementations of small-scale discriminative clustering
methods in this package. These methods include small neural networks, logistic regression, decision trees and work from
other paper that we will relevant to the discriminative clustering field in the GEMINI spirit.

.. toctree::
   :maxdepth: 1
   :hidden:
   :caption: Getting Started

   quick_start

.. toctree::
   :maxdepth: 2
   :hidden:
   :caption: Documentation

   user_guide
   api
   history

.. toctree::
   :maxdepth: 2
   :hidden:
   :caption: Tutorial - Examples

   auto_examples/index

Contents
---------

* `Getting started <quick_start.html>`_.
* `User Guide <user_guide.html>`_.
* `API <api.html>`_.
* `Examples <auto_examples/index.html>`_

.. include:: ../README.md
    :parser: myst_parser.sphinx_

.. image:: _static/images/logo_3ia.png
    :height: 80
    :alt: 3IA, Université Côte d'Azur

.. image:: _static/images/logo_ul.png
    :height: 80
    :alt: Université Laval

.. image:: _static/images/logo_inria.png
    :height: 80
    :alt: INRIA

.. image:: _static/images/logo_i3s.png
    :height: 80
    :alt: Laboratoire d Informatique Signaux et Systèmes