Multi-Operators Based Hierarchical Clustering

Abstract : Agglomerative Hierarchical Clustering (AHC) is a classical explanatory approach allowing to organize instances of a database into a binary tree whose nodes express different levels of generality. However, the topology of a binary tree is not always semantically optimal. In many contexts, it would be more relevant to create a shallow Directed Acyclic Graph (DAG) instead of a tree, thus allowing to express overlaps. In this paper, we propose a new AHC algorithm which is based on the parallel use of multiple agents (aggregation, merging, sharing, ...) to build such DAG.
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Communication dans un congrès
In proceedings of the European Conference on Data Analysis, 2013, France. pp.1-1, 2013
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https://hal.archives-ouvertes.fr/hal-00952839
Contributeur : Maria-Irina Nicolae <>
Soumis le : jeudi 27 février 2014 - 15:56:09
Dernière modification le : mardi 28 octobre 2014 - 18:34:15

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  • HAL Id : hal-00952839, version 1

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Gilles Bisson. Multi-Operators Based Hierarchical Clustering. In proceedings of the European Conference on Data Analysis, 2013, France. pp.1-1, 2013. <hal-00952839>

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