Data sets from CPS for ML applications
Point clouds of different profiles are to be partitioned, i.e. cut into contour sections of the same or different lengths. Then, these sections of all profiles are to be compared with each other and clustered. Once the clusters of sections have been formed, it is possible to describe profiles not only unspecifically as a giant point cloud, but with the help of a few discrete clusters that are present in the contour.
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