Communication Dans Un Congrès Année : 2016

A two-level clustering for histogram data

Résumé

We present in this paper a clustering algorithm for histogram data based on a Self-Organising Map (SOM) learning that combine a dimension reduction by SOM and the clustering of the data in a reduced space in a certain number of homogeneous clusters. The number of cluster is not a priori fixed as parameter of the clustering algorithm but it is automatically found according to an estimation of local density of the data in the original space.

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hal-05001248 , version 1 (22-03-2025)

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  • HAL Id : hal-05001248 , version 1

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Guénaël Cabanes, Younès Bennani, Antonio Irpino, Rosanna Verde. A two-level clustering for histogram data. International Workshop on High Dimensional Data Mining, 2016, Naples, Italy. pp.1-4. ⟨hal-05001248⟩
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