Open source clustering software.

@article{citeulike:143169, abstract = {SUMMARY: We have implemented k-means clustering, hierarchical clustering and self-organizing maps in a single multipurpose open-source library of C routines, callable from other C and C++ programs. Using this library, we have created an improved version of Michael Eisen's well-known Cluster program for Windows, Mac OS X and Linux/Unix. In addition, we generated a Python and a Perl interface to the C Clustering Library, thereby combining the flexibility of a scripting language with the speed of C. AVAILABILITY: The C Clustering Library and the corresponding Python C extension module Pycluster were released under the Python License, while the Perl module Algorithm::Cluster was released under the Artistic License. The GUI code Cluster 3.0 for Windows, Macintosh and Linux/Unix, as well as the corresponding command-line program, were released under the same license as the original Cluster code. The complete source code is available at http://bonsai.ims.u-tokyo.ac.jp/mdehoon/software/cluster. Alternatively, Algorithm::Cluster can be downloaded from CPAN, while Pycluster is also available as part of the Biopython distribution.}, address = {Human Genome Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639 Japan. mdehoon@ims.u-tokyo.ac.jp}, author = {de Hoon, M. J. and Imoto, S. and Nolan, J. and Miyano, S. }, citeulike-article-id = {143169}, issn = {1367-4803}, journal = {Bioinformatics}, keywords = {clustering, opensource, software}, month = {June}, number = {9}, pages = {1453--1454}, posted-at = {2006-01-08 22:12:23}, priority = {2}, title = {Open source clustering software.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/14871861}, volume = {20}, year = {2004} }

TY - JOUR ID - citeulike:143169 L3 - citeulike-article-id:143169 N2 - SUMMARY: We have implemented k-means clustering, hierarchical clustering and self-organizing maps in a single multipurpose open-source library of C routines, callable from other C and C++ programs. Using this library, we have created an improved version of Michael Eisen's well-known Cluster program for Windows, Mac OS X and Linux/Unix. In addition, we generated a Python and a Perl interface to the C Clustering Library, thereby combining the flexibility of a scripting language with the speed of C. AVAILABILITY: The C Clustering Library and the corresponding Python C extension module Pycluster were released under the Python License, while the Perl module Algorithm::Cluster was released under the Artistic License. The GUI code Cluster 3.0 for Windows, Macintosh and Linux/Unix, as well as the corresponding command-line program, were released under the same license as the original Cluster code. The complete source code is available at http://bonsai.ims.u-tokyo.ac.jp/mdehoon/software/cluster. Alternatively, Algorithm::Cluster can be downloaded from CPAN, while Pycluster is also available as part of the Biopython distribution. IS - 9 JF - Bioinformatics SN - 1367-4803 AD - Human Genome Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639 Japan. mdehoon@ims.u-tokyo.ac.jp EP - 1454 TI - Open source clustering software. VL - 20 SP - 1453 KW - clustering KW - opensource KW - software AU - de Hoon, MJ AU - Imoto, S AU - Nolan, J AU - Miyano, S PY - 2004/06/12/ UR - http://view.ncbi.nlm.nih.gov/pubmed/14871861 ER -