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Clusteranalysis

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The R Project for Statistical Computing. Statistical Innovations: Latent GOLD. Konstanz Information Miner. Almo Statistik-System. Open source Clustering software. The open source clustering software available here implement the most commonly used clustering methods for gene expression data analysis.

Open source Clustering software

The clustering methods can be used in several ways. Cluster 3.0 provides a Graphical User Interface to access to the clustering routines. It is available for Windows, Mac OS X, and Linux/Unix. Python users can access the clustering routines by using Pycluster, which is an extension module to Python.