Co-clustering Software (Version 1.1)

Announcement

It is a new version (Version 1.1) of the cocluster software (Version 1.0). Notice that command line options are changed.
Some of datasets that are used in our experiments are available.

The program

Co-cluster (Version 1.1) is a new version of C++ program based on the cocluster (Version 1.0) written by Hyuk Cho, Yuqiang Guan and Suvrit Sra, which implements three co-clustering algorithms: information-theoretic co-clustering algorithm and two types of minimum sum-squared residue co-clustering algorithms (see the papers for details). In our implementation, all the algorithms have the ping-pong structure, i.e., a batch algorithm followed by corresponding chain of first variations. Each algorithm also has five variations, based on in what order to update the row or column centroids.

Download

README of the code is here.
The code is released under the GNU Public License (GPL).
The code has been compiled using gcc 3.0.3 in Solaris and Linux.
However, bug reports and comments are always appreciated.

Please enter your e-mail address and press the left button below.

Then if you see the following message, the software has been sent to you via e-mail.
Otherwise, request the software directly from me.

" Thanks for downloading Cocluster software.
Good luck!
Hyuk Cho"

Citation

You are welcome to use the code under the terms of the GNU Public License (GPL), however please acknowledge its use with a citation:

Co-clustering of Human Cancer Microarrays using Minimum Sum-Squared Residue Co-clustering, H. Cho and I.S. Dhillon, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), vol. 5:3, pages 385-400, July 2008.
Download: [pdf]
Minimum Sum-Squared Residue Co-clustering of Gene Expression Data, H. Cho, I.S. Dhillon, Y. Guan and S. Sra, Proceedings of The fourth SIAM International Conference on Data Mining, pages 114-125, April 2004.
Download: [ps, pdf]
Information Theoretic Clustering of Sparse Co-Occurrence Data I.S. Dhillon and Y. Guan, Proceedings of The Third IEEE International Conference on Data Mining, pages 517-520, November 2003.
Download: [ps, pdf]
(A longer version appears as UTCS Technical Report #TR-03-39, September 2003. [Abstract & Download])
(Also, appears as "Clustering Large and Sparse Co-Occurrence Data", Workshop on Clustering High-Dimensional Data and its Applications at The Third SIAM International Conference on Data Mining, May 2003. Download: [ps, pdf])
Information-Theoretic Co-clustering, I. S. Dhillon, S. Mallela, and D. S. Modha, Proceedings of The Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD), pages 89-98, August 2003.
Download: [ps, pdf]
(Also, appears as UTCS Technical Report #TR-03-12, April 2003. [Abstract & Download])