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This approach studies 2D object clustering based on Steiner point which is the curvature center for an object. Steiner point can be used as the unique invariable position of a non-symmetric shape body under growth. In contrast to the well known k-means clustering, this technique focuses on calculating Steiner point of an object (or samples of each investitive class) instead of finding center for each...
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