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INSTALL  view on Meta::CPAN

INSTALLATION
============

The installation procedure depends on the software package you want to use.
Below you will find instructions for Cluster 3.0 for Windows, Mac OS X, and
Unix/Linux, Cluster 3.0 as a command-line program, Pycluster (for Python),
and Algorithm::Cluster (for Perl).


Cluster 3.0 for Windows
-----------------------

For Cluster 3.0 for Windows, download the Windows installer from our website
(http://bonsai.hgc.jp/~mdehoon/software/cluster/clustersetup.exe).
Run the installer, and you're done.

INSTALL  view on Meta::CPAN

Cluster 3.0 can be installed most easily on Mac OS X by using the installer for
Mac OS X, which is available at
http://bonsai.hgc.jp/~mdehoon/software/cluster.

If you want to recompile Cluster 3.0, it is easiest to use Xcode and Interface
Builder that are part of Mac OS X. The subdirectory mac contains the project
file that was used to compile Cluster 3.0.


Cluster 3.0 for Linux/Unix
--------------------------

Cluster 3.0 was ported to Linux/Unix using the Motif libraries. These libraries
are installed on most Linux/Unix computers. You will need a version compliant
with Motif 2.1, such as OpenMotif (http://www.opengroup.org), which is available
at http://www.motifzone.net.

Cluster 3.0 can be installed on Unix/Linux by typing
  ./configure
  make
  make install
This will create the executable cluster and install it in /usr/local/bin. Some
auxiliary files are installed in /usr/local/cluster. The executable can be used
as a GUI program and as a command line program.

For more options, such as installing in a different directory, type
  ./configure --help

README  view on Meta::CPAN

The Open Source Clustering Software consists of the most commonly used routines
for clustering analysis of gene expression data. The software packages below all
depend on the C Clustering Library, which is a library of routines for
hierarchical (pairwise single-, complete-, maximum-, and average-linkage)
clustering, k-means clustering, and Self-Organizing Maps on a 2D rectangular
grid. The C Clustering Library complies with the ANSI C standard.

Several packages are available as part of the Open Source Clustering Software:
* Cluster 3.0 is a GUI-based program for Windows, based on Michael Eisen's
  Cluster/TreeView code. Cluster 3.0 was written for Microsoft Windows, and
  subsequently ported to Mac OS X (Cocoa) and Unix/Linux. Cluster 3.0 can
  also be used as a command line program.
* Pycluster (or Bio.Cluster if used as part of Biopython) is an extension
  module to the scripting language Python.
* Algorithm::Cluster is an extension module to the scripting language Perl.
* The routines in the C Clustering Library can also be used directly by calling
  them from other C programs.


INSTALLATION
============