ECC specifications


Unique identifier OMICS_17549
Name ECC
Alternative name Entropy-based Consensus Clustering
Software type Package/Module
Interface Command line interface
Restrictions to use None
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.
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.
Operating system Unix/Linux
Programming languages MATLAB
Computer skills Advanced
Version 1.0
Stability Stable
Source code URL
Maintained Yes



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  • person_outline Yang-Yu Liu <>

Publication for Entropy-based Consensus Clustering

ECC institution(s)
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
ECC 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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