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One main challenge of additive manufacturing is the lack of geometric accuracy of the parts. Part geometry measurements generated using Next Engine 3D scanners yields an extremely large amounts of data. The generated data is so large, that it is difficult to characterize and quantify the geometric accuracy of the part directly. Self-Organizing Map is utilized to investigate the major types of geometric deviations.