Pointcloud simplify by iterative soft clustering algorithm
Different from k-means, this currently is variable k-centroids not using global optimization. Local error weights.
points: 704
clusters: 138
outliers: 11
Hole filling while simplifying is challenging. Many issues to solve including how to organize the new pointcloud in the existing octree.
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