“…Partitional Around Medoids (PAM) algorithm was used by Li et al [34] for tool wear state clustering in milling operations showing its superiority over k means and fuzzy c means algorithms based on cutting force signal. Zhou et al [35] used vibration signal time-frequency features and fuzzy c means algorithm to classify 3 roughness Ra ranges in the drilling operation. Kubišová et al [36] used hierarchical clustering to compare original surface roughness with replicated surface roughness based on Euclidean distances of various roughness parameters showing that it can be a good tool for replicability measurements of obtained surface profiles.…”
Section: Fig 2 Drilling Process and The Generated Surface Where θ Is ...mentioning
“…Partitional Around Medoids (PAM) algorithm was used by Li et al [34] for tool wear state clustering in milling operations showing its superiority over k means and fuzzy c means algorithms based on cutting force signal. Zhou et al [35] used vibration signal time-frequency features and fuzzy c means algorithm to classify 3 roughness Ra ranges in the drilling operation. Kubišová et al [36] used hierarchical clustering to compare original surface roughness with replicated surface roughness based on Euclidean distances of various roughness parameters showing that it can be a good tool for replicability measurements of obtained surface profiles.…”
Section: Fig 2 Drilling Process and The Generated Surface Where θ Is ...mentioning
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