AUTOMATIC CLUSTERING OF INDUSTRIAL DATA WITH THE CONNECTED COMPONENTS - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2024

AUTOMATIC CLUSTERING OF INDUSTRIAL DATA WITH THE CONNECTED COMPONENTS

Katarína Firdová
  • Fonction : Auteur
  • PersonId : 1416475
Laurent Vuillon
  • Fonction : Auteur
  • PersonId : 1416477

Résumé

This paper proposes the use of techniques from the field of graph theory to automatically determine and cluster the same types of observations without prior knowledge on their number. The idea is to create a graph where observations are vertices and an edge between two observations exists if and only if one observation is in the nearest neighbourhood of another one. Connected components of the graphs can be then considered as groups of observations of the same type. The approach is particularly useful for multiclass anomaly detection in the context of Industry 4.0.

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Dates et versions

hal-04704003 , version 1 (20-09-2024)

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  • HAL Id : hal-04704003 , version 1

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Katarína Firdová, Laurent Vuillon, Céline Labart. AUTOMATIC CLUSTERING OF INDUSTRIAL DATA WITH THE CONNECTED COMPONENTS. 2024. ⟨hal-04704003⟩

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