Skip to content
master
Switch branches/tags
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 

!!! This project is now maintained by Clustering4Ever !!!

https://github.com/Clustering4Ever/Clustering4Ever

spark-clustering

Some Spark implementations of clustering algorithms.

- the word code refers to the SOM clustering  and BiTM (Biclustering Topological Map) codes.

- the word AUTHORS stand for LIPN (Le Laboratoire d'Informatique de Paris-Nord (LIPN) (UMR 7030)) 

- The code may be reproduced for personal use only. In particular, any copy addressed to a third party, even free of charge, would be fraudulent.

- If modifications are performed on the code, these modifications will  be communicated to the AUTHORS and I commit myself to transfer their	property to the AUTHORS.

- Publication about any work realized using the code must mention it.

1-Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag: Biclustering using Spark-MapReduce. IEEE BigData Conference 2014:58-60
2- Tugdual Sarazin, Hanane Azzag, and Mustapha Lebbah. 2014. SOM Clustering Using Spark-MapReduce. In Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops (IPDPSW '14). IEEE Computer Society, Washington, DC, USA, 1727-1734. DOI=10.1109/IPDPSW.2014.192 
	 
- The code is a research product and is provided without any expressed
  or implied warranty. There is no warranty of any kind concerning the
  fitness of this software for any particular purpose. Because The code is licensed free of charge, there is no warranty for The code. The code is provided "as is" without any kind, either
  expressed or implied, including, but not limited to, the fitness for a
  particular purpose. The entire risk as to the quality and performance of
  the code is with you. Should the code prove defective, you assume
  the cost of all necessary servicing, repair or correction.

About

Some Spark implementations of clustering algorithms.

Resources

Releases

No releases published

Packages

No packages published

Languages