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Poster communications

Semi-Supervised Consensus Clustering Based on Frequent Closed Itemsets

Tianshu Yang 1, 2 Nicolas Pasquier 1 Frédéric Precioso 1, 3 
3 MAASAI - Modèles et algorithmes pour l’intelligence artificielle
CRISAM - Inria Sophia Antipolis - Méditerranée , UNS - Université Nice Sophia Antipolis (1965 - 2019), JAD - Laboratoire Jean Alexandre Dieudonné, Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
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https://hal.archives-ouvertes.fr/hal-02540836
Contributor : Nicolas Pasquier Connect in order to contact the contributor
Submitted on : Sunday, April 12, 2020 - 2:12:53 AM
Last modification on : Thursday, August 4, 2022 - 5:00:05 PM

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  • HAL Id : hal-02540836, version 1

Citation

Tianshu Yang, Nicolas Pasquier, Frédéric Precioso. Semi-Supervised Consensus Clustering Based on Frequent Closed Itemsets. PhD Track of the IDA'2020 18th International Symposium on Intelligent Data Analysis (Track cancelled due to the COVID-19 pandemic), Apr 2020, Bodenseeforum, Germany. ⟨hal-02540836⟩

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