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k-means clustering

Vector quantization algorithm that minimizes the sum of squared deviations between points and their nearest mean
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k-means clustering

Summary

k-means clustering is a data clustering algorithm[1]. It ranks in the top 5% of data_clustering_algorithm entities by monthly Wikipedia readership (1,505 views/month).[2]

Key Facts

  • k-means clustering's video is recorded as K-means convergence.gif[3].
  • k-means clustering's video is recorded as Kmeans animation withoutWatermark.gif[4].
  • k-means clustering's image is recorded as K Means Example Step 1.svg[5].
  • k-means clustering's image is recorded as K Means Example Step 2.svg[6].
  • k-means clustering's image is recorded as K Means Example Step 3.svg[7].
  • k-means clustering's image is recorded as K Means Example Step 4.svg[8].
  • k-means clustering's instance of is recorded as data clustering algorithm[9].
  • k-means clustering's instance of is recorded as cluster analysis[10].
  • k-means clustering's has use is recorded as unsupervised learning[11].
  • k-means clustering's Commons category is recorded as K-means algorithm[12].
  • k-means clustering's Freebase ID is recorded as /m/061s_s[13].
  • k-means clustering's Stack Exchange tag is recorded as https://stackoverflow.com/tags/k-means[14].
  • k-means clustering's Quora topic ID is recorded as K-means-Clustering[15].
  • k-means clustering's derivative work is recorded as K-means++[16].
  • k-means clustering's Microsoft Academic ID is recorded as 207968372[17].
  • k-means clustering's Brilliant Wiki ID is recorded as k-means-clustering[18].
  • k-means clustering's GitHub topic is recorded as k-means-clustering[19].
  • k-means clustering's OpenAlex ID is recorded as C207968372[20].
  • k-means clustering's Encyclopedia of China is recorded as 51250[21].
  • k-means clustering's Encyclopedia of China is recorded as 121598[22].

Body

Designation and Status

Recorded instance of include data clustering algorithm[9] and cluster analysis[10].

Why It Matters

k-means clustering ranks in the top 5% of data_clustering_algorithm entities by monthly Wikipedia readership (1,505 views/month).[2] It has Wikipedia articles in 22 language editions, a strong signal of global cultural recognition.[23] It is known by 22 alternative names across languages and contexts.[24]

Related Entities

unsupervised learning

References

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

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [4] ↑ . wikidata.org.
  3. [5] ↑ . wikidata.org.
  4. [6] ↑ . wikidata.org.
  5. [7] ↑ . wikidata.org.
  6. [8] ↑ . wikidata.org.
  7. [9] ↑ . wikidata.org.
  8. [10] ↑ . wikidata.org.
  9. [11] ↑ . wikidata.org.
  10. [12] ↑ . wikidata.org.
  11. [13] ↑ . Freebase Data Dumps. wikidata.org.
  12. [14] ↑ . wikidata.org.
  13. [15] ↑ . Quora. wikidata.org.
  14. [16] ↑ . wikidata.org.
  15. [17] ↑ . wikidata.org.
  16. [18] ↑ . wikidata.org.
  17. [19] ↑ . github.com. Retrieved . github.com. Provenance: wikidata.org.
  18. [20] ↑ . OpenAlex. Retrieved . docs.openalex.org. Provenance: wikidata.org.
  19. [21] ↑ . wikidata.org.
  20. [22] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

Aggregate / graph-position facts

  1. [2] ↑ . Wikimedia Foundation. dumps.wikimedia.org.
  2. [23] ↑ . Wikidata sitelinks. wikidata.org.
  3. [24] ↑ . Wikidata aliases. wikidata.org.

📑 Cite this page

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-means clustering. Retrieved May 3, 2026, from https://4ort.xyz/entity/k-means-clustering
MLA “k-means clustering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/k-means-clustering.
BibTeX @misc{4ortxyz_k-means-clustering_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{k-means clustering}}, year = {2026}, url = {https://4ort.xyz/entity/k-means-clustering}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): k-means clustering — https://4ort.xyz/entity/k-means-clustering (retrieved 2026-05-03)

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