ECC specifications

Unique identifier:
Software type:
Restrictions to use:
Output data:
The objective function value of K-means, the partition for gene expression data, the objective function value in each iteration, the utility value and the execution time.
Programming languages:
Source code URL:
Entropy-based Consensus Clustering
Command line interface
Input data:
The set of basic partitions, the utility function, the weight vector of basic partitions, the repetition time of K-means, the maximum iteration number, the threshold for stopping criterion and the indicator to calculate the utility.
Operating system:
Computer skills:


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ECC distribution


ECC support


  • Yang-Yu Liu <>


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Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA; Department of Statistics, Stanford University, Stanford, CA, USA; Center for Complex Network Research and Departments of Physics, Northeastern University, Boston, MA, USA; Center for Cancer Systems Biology, Dana-Farber Cancer Institute, Boston, MA, USA; College of Computer and Information Science, Northeastern University, Boston, MA, USA

Funding source(s)

Supported in part by the John Templeton Foundation (Award number 51977), the National Academy of Sciences- Grainger Foundation Frontiers of Engineering Award (2000006959), NSF CNS Award (1314484), ONR award (N00014-12-1-1028), ONR Young Investigator Award (N00014-14-1-0484), and U.S. Army Research Office Young Investigator Award (W911NF-14-1-0218).

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