k-means clustering

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English

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Noun

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k-means clustering (uncountable)

  1. A method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.
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