Mixed-precision Lloyd's k-means remains stable and effective for normalized data in clustering and image segmentation tasks, with care needed for unnormalized data to avoid overflow.
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Computing $k$-means in mixed precision
Mixed-precision Lloyd's k-means remains stable and effective for normalized data in clustering and image segmentation tasks, with care needed for unnormalized data to avoid overflow.