A local persistent cohomology algorithm partitions a point cloud into manifold, boundary, and intersection points, demonstrated on cyclo-octane conformations and a Henneberg minimal surface.
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Geometric anomaly detection in data
A local persistent cohomology algorithm partitions a point cloud into manifold, boundary, and intersection points, demonstrated on cyclo-octane conformations and a Henneberg minimal surface.