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k-medoids

clustering algorithm minimizing the sum of distances to k representatives
Intangible data_clustering_algorithm Q3191282

Facts

1 property
Instance of
data clustering algorithm
🏷️ Also known as
en k-medoids en PAM de PAM fa کی-واسط fr K-medoids fr k-médoïdes it K medoids pt K-medoides uk Метод k-медоїдів vi K-trung gian vi PAM
🔖 Identifiers · 3
OpenAlex ID
C65932786
Freebase ID
/m/0g44mf
Microsoft Academic ID (discontinued)
65932786

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Summary

k-medoids is a data clustering algorithm[1].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). k-medoids. Retrieved November 6, 2026, from https://4ort.xyz/entity/k-medoids
MLA “k-medoids.” 4ort.xyz Knowledge Graph, 4ort.xyz, 6 Nov. 2026, https://4ort.xyz/entity/k-medoids.
BibTeX @misc{4ortxyz_k-medoids_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{k-medoids}}, year = {2026}, url = {https://4ort.xyz/entity/k-medoids}, note = {Accessed: 2026-11-06}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): k-medoids — https://4ort.xyz/entity/k-medoids (retrieved 2026-11-06)

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