K-means clustering

Rarity: Uncommon

A topic a little better known than average, read and translated beyond its own country.

Rarity follows how well known the article is: its views on the French and English Wikipedia over a year, and the number of languages it exists in.

At a glance

Class

Notion

Domain

Science and technology

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What Wikipedia says

k-means clustering is 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 (cluster centers or cluster centroid).

Excerpt from the Wikipedia article “K-means clustering”, under the CC BY-SA 4.0 license. Read the article on Wikipedia

Image: Weston.pace, CC BY-SA 3.0, via Wikimedia Commons.