statistics
k-means
Partitioning into k classes that minimizes the distance of each observation to its class center.
Classification
- statistics
Attestation
Sources (15)
93 occurrences in the corpus; indexed by 2 books
Show the 15 sources
- Applied Multivariate Statistics in R
- Atlas of knowledge: anyone can map
- Ault, Nam Liao & Musolino, Principles of Data Science, OpenStax, 2025
- Computational statistics in data science
- Cook & Laa, Interactively Exploring High-Dimensional Data and Models in R, Chapman & Hall/CRC, 2026
- Data sketches
- github.com↗
- gka.github.io
- Handling and mapping geographic information
- Information theory tools for visualization
- Interactive data visualization: foundations, techniques, and applications
- Open Visualization Academy, courses and newsletter (Cairo et al.)
- Progressive Data Analysis: Roadmap and Research Agenda
- Thematic Cartography and Geovisualization
- Wikipedia in English↗
Cite this entry
Stable addresshttps://dataviz.adrientaudiere.com/en-only/term/k-means.html
ReferenceTaudière Adrien. 2026. k-means. In Visualization Vocabulary, version 1.0.0. IdEst. https://dataviz.adrientaudiere.com/en-only/term/k-means.html
BibTeX
@incollection{taudiere2026-k-means,
author = {Taudière, Adrien},
title = {k-means},
booktitle = {Visualization Vocabulary},
year = {2026},
version = {1.0.0},
publisher = {IdEst},
url = {https://dataviz.adrientaudiere.com/en-only/term/k-means.html},
note = {CC0 1.0}
}Page created on 2026-10-13. Text last changed on 2026-10-13. Numbers computed on 2026-10-22.