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This paper describes the use of the single-linkage
hierarchical clustering method in outlier detection for
manufactured metal work pieces. The main goal of the study is
to group defects that occur 5 mm into a work piece from the
edge, i.e., the border of the metal work piece. The goal is to
remove defects outside the area of interest as outliers.
According to the assumptions made for the performance
criteria, the single-linkage method has achieved better results
compared to other agglomeration methods.