________________________________________________________________________________________________
LICENSE

This software is distributed under the creative commons Attribution-NonCommercial-ShareAlike 4.0 International license. By exercising the Licensed Rights (defined in the file legalcode.txt found in the same folder as this README file), you accept and agree to be bound by the terms and conditions of this Creative Commons
Attribution-NonCommercial-ShareAlike 4.0 International Public License ("Public License").

This README file highlights only some of the key features and terms of the actual license. It is not a license and has no legal value. You should carefully review all of the terms and conditions of the actual license before using the licensed material.

You are free to:
	Share — copy and redistribute the material in any medium or format
	Adapt — remix, transform, and build upon the material
		
The licensor cannot revoke these freedoms as long as you follow the license terms.


Under the following terms:

Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

NonCommercial — You may not use the material for commercial purposes.

ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.


________________________________________________________________________________________________
USER INSTRUCTIONS:

The code is distributed without guarantees and without support. It is intended to allow the results in the paper [Thomas Blumensath, “Directional Clustering through Matrix Factorisation”, IEEE transactions on Neural Networks and Learning Systems, to appear.] to be recreated with minimal effort. However, as the paper uses datasets that cannot be included here, these have to be installed independently. Information on this can either be found in the code or it will be displayed when running the code. The same holds for additional code from third party sources.

The code is organised into the five experiments reported in the paper, with the main functions names ExpA*, ExpB*, … where the A, B, … refers to the subsection in the paper.