fuzzyClustering – K-partite Graph Clustering algorithm that allows for Overlapping (Fuzzy) Clusters

fuzzyClustering

:: DESCRIPTION

fuzzyClustering is a fast and efficient k-partite graph clustering algorithm that allows for overlapping (fuzzy) clusters. It is based on multiplicative update rules commonly used in non-negative matrix factorization.

::DEVELOPER

Institute of Computational Biology, German Research Center for Environmental Health (GmbH)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOsX
  • MatLab

:: DOWNLOAD

 fuzzyClustering

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2010 Oct 20;11:522. doi: 10.1186/1471-2105-11-522.
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs.
Hartsperger ML, Blöchl F, Stümpflen V, Theis FJ.

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