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- Title
Open source clustering software.
- Authors
de Hoon, M J L; Imoto, S; Nolan, J; Miyano, S
- Abstract
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.
- Publication
Bioinformatics (Oxford, England), 2004, Vol 20, Issue 9, p1453
- ISSN
1367-4803
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/bth078