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The K-means algorithm is a popular data-clustering algorithm. However, one of its drawbacks is the requirement for the number of clusters, K, to be specified before the algorithm is applied. This paper first reviews existing methods for selecting the number of clusters for the algorithm. Factors that affect this selection are then discussed and a new(More)
Laser milling provides a new method of producing components for the micro tool manufacturing industry. This paper considers the technical capabilities of laser milling when applied to the machining of components for micro tooling. Characteristics important for laser milling as a micro tooling manufacturing process are reviewed. These characteristics are(More)
Automatic Feature Recognition (AFR) techniques are an important tool for achieving a true integration of design and manufacturing stages during the product development. In particular, AFR systems offer capabilities for recognising high-level geometrical entities, features, in Computer-Aided Design (CAD) models. However, the recognition performances of most(More)
During the product development, Automatic Feature Recognition (AFR) techniques are an important tool for achieving a true integration of design and manufacturing stages. In particular, AFR systems offer capabilities for the identification in Computer-Aided Design (CAD) models of high-level geometrical entities, features that are semantically significant for(More)
Automatic Feature Recognition (AFR) techniques applied to 3D solid models are an important tool for achieving a true integration of Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) processes. In particular, AFR systems allow the identification in CAD models of high-level geometrical entities, features that are semantically significant for(More)