A seeded graph-based nearest-center search (SHEESH) makes k-means with huge k (up to 10^6 clusters) practical on a single CPU, beating GPU Lloyd baselines in the reported experiments.
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Scalable k-Means Clustering for Large k via Seeded Approximate Nearest-Neighbor Search
A seeded graph-based nearest-center search (SHEESH) makes k-means with huge k (up to 10^6 clusters) practical on a single CPU, beating GPU Lloyd baselines in the reported experiments.