k-means clustering

noun

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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Meanings

nounk-means clustering (uncountable)
  1. uncountableA 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.
Cite this entry
APA

k-means clustering. (n.d.). In WatkinsX Dictionary. Retrieved November 5, 2026, from https://dictionary.watkinsx.com/word/k-means%20clustering

MLA

“k-means clustering.” WatkinsX Dictionary, https://dictionary.watkinsx.com/word/k-means%20clustering. Accessed November 5, 2026.

Chicago

WatkinsX Dictionary, s.v. “k-means clustering,” accessed November 5, 2026, https://dictionary.watkinsx.com/word/k-means%20clustering.

Source: k-means clustering on Wiktionary, CC BY-SA 4.0.