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Clustering to Inform Infrastructure Inspections
Good inspections are crucial for managing risk and making decisions about facility maintenance. This paper proposes a method using the partitioning around medoids (PAM) algorithm to ensure that the inspector inspects a diverse set of components which maximize the information about the facility. We compares a number of different metrics by which to cluster the components using PAM, and evaluated the effectiveness of the clustering using Bayesian ANOVA testing.
Clustering to Inform Infrastructure Inspections
Good inspections are crucial for managing risk and making decisions about facility maintenance. This paper proposes a method using the partitioning around medoids (PAM) algorithm to ensure that the inspector inspects a diverse set of components which maximize the information about the facility. We compares a number of different metrics by which to cluster the components using PAM, and evaluated the effectiveness of the clustering using Bayesian ANOVA testing.
Clustering to Inform Infrastructure Inspections
J. Perform. Constr. Facil.
Dulin, Sam (author) / Betz, Trevor (author) / Bartels, Louis (author) / Grussing, Michael (author)
2024-12-01
Article (Journal)
Electronic Resource
English
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