Lloyd's algorithm
PulseAugur coverage of Lloyd's algorithm — every cluster mentioning Lloyd's algorithm across labs, papers, and developer communities, ranked by signal.
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New one-bit clustering method for sub-Gaussian mixture models proposed
Researchers have introduced a novel one-bit clustering method designed for two-component sub-Gaussian mixture models. This technique utilizes a single bit per sample entry, processed through a dithered quantizer. The me…
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Lloyd's algorithm clustering consistency proven under perturbed samples
Researchers have analyzed the consistency of Lloyd's algorithm, a popular unsupervised clustering method, when applied to perturbed data. They demonstrated that even with small perturbations, the algorithm maintains an …
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New Hartigan k-means variant improves clustering results by up to 10%
Researchers have developed an improved version of the Hartigan k-means clustering algorithm, building upon its known advantages over Lloyd's algorithm. This minor variation reportedly yields an additional 2-5% improveme…