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A faster implementation of mixtures of Manly transformations is proposed, which uses Newton's method for optimization in an EM gradient algorithm instead of Nelder-Mead in a traditional EM.
Clustering is an unsupervised learning technique that partitions unlabeled data into groups. Most existing methods require user-specified parameters, such as the number of clusters or neighborhood size. Conversely, we propose automatic depth-based local center clustering (A-DLCC), a fully data-driven method that elimin...
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