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The proposed technique very first divides the dimensions of enter data hierarchically into two or a few sub-datasets. Following, we build the sub-convex hull in Every sub-dataset and build the ultimate UB-H as an index by combining Every single sub-convex hull.
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Some LMSs is likely to be self-hosted or hybrid, Mixing cloud-centered and local hosting for more control but incurring better infrastructure costs.
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