"k-means clustering" meaning in English

See k-means clustering in All languages combined, or Wiktionary

Noun

Head templates: {{en-noun|-|head=k-means clustering}} 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. Tags: uncountable
    Sense id: en-k-means_clustering-en-noun-pN6qUA4M Categories (other): English entries with incorrect language header

Download JSON data for k-means clustering meaning in English (0.9kB)

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This page is a part of the kaikki.org machine-readable English dictionary. This dictionary is based on structured data extracted on 2024-05-09 from the enwiktionary dump dated 2024-05-02 using wiktextract (4d5d0bb and edd475d). The data shown on this site has been post-processed and various details (e.g., extra categories) removed, some information disambiguated, and additional data merged from other sources. See the raw data download page for the unprocessed wiktextract data.

If you use this data in academic research, please cite Tatu Ylonen: Wiktextract: Wiktionary as Machine-Readable Structured Data, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), pp. 1317-1325, Marseille, 20-25 June 2022. Linking to the relevant page(s) under https://kaikki.org would also be greatly appreciated.