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Open source Clustering software

The open source clustering software available here implement the most commonly used clustering methods for gene expression data analysis. The clustering methods can be used in several ways. Cluster 3.0 provides a Graphical User Interface to access to the clustering routines. http://bonsai.hgc.jp/~mdehoon/software/cluster/software.htm
http://www.scipy.org/ SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy , which provides convenient and fast N-dimensional array manipulation.

SciPy -

Scientific Computing Tools For Python — Numpy

http://numpy.scipy.org/ Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined.