Jan 182015
 

Cluster 3.0 2014.10.07

:: DESCRIPTION

Cluster 3.0 is an enhanced version of Cluster, which was originally developed by Michael Eisen while at Stanford University.

Cluster is program that provide a computational and graphical environment for analyzing data from DNA microarray experiments, or other genomic datasets. The program Cluster can organize and analyze the data in a number of different ways.

The main improvement consists of the k-means algorithm, which now includes multiple trials to find the best clustering solution. This is crucial for the k-means algorithm to be reliable.The routine for self-organizing maps was extended to include 2D rectangular geometries. The Euclidean distance and the city-block distance were added to the available measures of similarity.

::DEVELOPER

Michiel de Hoon of the University of Tokyo

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows
  • Mac OS X
  • Linux/Unix with Motif

:: DOWNLOAD

Cluster 

:: MORE INFORMATION

Reference: M. J. L. de Hoon, S. Imoto, J. Nolan, and S. Miyano: 
Open Source Clustering Software
Bioinformatics20 (9): 1453–1454 (2004).

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