McKmeans 0.42

A highly efficient multi-core k-means algorithm for clustering extremely large datasets
McKmeans is a free dataset clustering application. McKmeans supports clustering gene expression, exon array, and SNP data sets.

To select the cluster number estimation method click on the second tab on top of the frame.

The cluster number estimation method is selected by switching to the cluster number estimation tab. First choose the minimal and maximal number of clusters to test, the maximal number of iterations for the cluster algorithm, and the maximal number of repetitions for each cluster number k.

Press the 'Cluster number estimation' button to start. The result is shown as a boxplot chart (displaying the median and interquartile range).

The most stable clustering (greatest difference between mean cluster result and mean random clustering) is marked in the figure by a '*' and shown on the lower right panel.

Additionally, a p-value from testing the null hypothesis of no difference between MCA-index from clustering and random baseline (U-test) is displayed. The best clustering (from 100 random restarts with k*) is shown in the cluster analysis tab and can be saved via 'Menu -> File -> Save clustering'.

NOTE: McKmeans is licensed and distributed under the terms of the Artistic license 2.0.

last updated on:
September 18th, 2010, 12:31 GMT
file size:
22.4 MB
developed by:
McKmeans Team
license type:
operating system(s):
Mac OS X
binary format:
Home \ Math/Scientific


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3 Screenshots
McKmeans - The main interface of the program.McKmeans - Here you can view the cluster number estimation.McKmeans - Here you can customize some preferences.

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