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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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Contributor : Maria-Irina Nicolae Connect in order to contact the contributor
Submitted on : Thursday, February 27, 2014 - 3:56:09 PM
Last modification on : Wednesday, July 6, 2022 - 4:24:58 AM


  • HAL Id : hal-00952839, version 1



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



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