{ "info": { "author": "Francois Role, Stanislas Morbieu, Mohamed Nadif", "author_email": "francois.role@gmail.com", "bugtrack_url": null, "classifiers": [ "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Topic :: Scientific/Engineering :: Information Analysis" ], "description": "Coclust: a Python package for co-clustering\n===========================================\n\n**Coclust** provides both a Python package which implements several diagonal\nand non-diagonal co-clustering algorithms, and a ready to use script to\nperform co-clustering.\n\nCo-clustering (also known as biclustering), is an important extension of\ncluster analysis since it allows to simultaneously groups objects and features\nin a matrix, resulting in both row and column clusters.\n\nThe script enables the user to process a dataset with\nco-clustering algorithms without writing Python code.\n\nThe Python package provides an API for Python developers.\nThis API allows to use the algorithms in a pipeline with scikit-learn library\nfor example.\n\n**coclust** is distributed under the 3-Clause BSD license.\n\nSee the available `documentation`_ for details and usage samples.\n\n\nChangelog\n~~~~~~~~~\n\n0.2.0 - February, 2017\n::::::::::::::::::::::\n\n- Improved documentation\n- Restructuring\n- Evaluation, visualization and loading utilities\n- Easier installation of optional dependencies\n\n\n0.1.3 - April, 2016\n:::::::::::::::::::\n\n- New visualization methods in the utils module.\n- New demos.\n- Better PEP 8 conformance\n- Improved documentation.\n\n0.1.1 - March 07, 2016\n:::::::::::::::::::::::\n\n- First release.\n\n\nCode\n~~~~\n\nYou can check the latest sources with the command::\n\n git clone https://github.com/franrole/cclust_package.git\n\n\n.. _`documentation`: http://coclust.readthedocs.org\n", "description_content_type": null, 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