MultiCons (Multiple Consensuses) algorithm
Project description
MultiCons
This python package provides an implementation of the MultiCons (Multiple Consensus) algorithm.
MultiCons is a consensus clustering method that uses the frequent closed itemset mining technique to find similarities in the base clustering solutions.
The implementation aims to follow the original description of the MultiCons method from the references below.
Documentation
To get started, check out some examples or look up the reference API, please visit our documentation page.
References
Atheer A. "A closed patterns-based approach to the consensus clustering problem". Other [cs.OH]. Université Côte d’Azur, 2016. English. <NNT : 2016AZUR4111>. Retrieved from tel.archives-ouvertes.fr
Atheer A., Pasquier N., Precioso F. "Using Closed Patterns to Solve the Consensus Clustering Problem". International Journal of Software Engineering and Knowledge Engineering 2016 26:09n10, 1379-1397
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