Open source clustering software | Zendy

Michiel de Hoon | Zendy; Seiya Imoto | Zendy; John P. Nolan | Zendy; Satoru Miyano | Zendy

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Open source clustering software

Author(s) -

Michiel de Hoon,

Seiya Imoto,

John P. Nolan,

Satoru Miyano

Publication year - 2004

Publication title -

bioinformatics

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bth078

Subject(s) - python (programming language) , computer science , perl , unix , operating system , os x , scripting language , cluster analysis , programming language , mit license , mac os , software , source code , artificial intelligence

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.

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