k-means clustering
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.
Noun
k-means clustering (uncountable)
- 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.
Questions about k-means clustering
- What does k-means clustering mean?
- K-means clustering means 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.
- What part of speech is k-means clustering?
- K-means clustering is a noun.
Words near k-means clustering in the dictionary
Source and license
Adapted from Wiktionary: k-means clustering (page history and authors). Text available under the Creative Commons Attribution-ShareAlike 4.0 license. Word.ws reformatted the entry and added links. Wiktionary data of 2026-09-02.
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Cite this entry: “k-means clustering.” Word.ws, https://word.ws/k-means_clustering. Based on Wiktionary, CC BY-SA 4.0.
