Centroid-based clustering

Centroid-based clustering                                        Machine Learning

noun phrase

Definition: A category of partitional, non-hierarchical clustering methods in which samples are assigned to clusters according to their distance from a central representative point, usually a centroid; k-means is the prototypical centroid-based algorithm [Cheng et al. 2025].

Example in context: “Center-based clustering algorithms such as k-means have strict requirements on data distribution.” [Cheng et al. 2025]

Synonyms: center-based clustering; centroid-based partitional clustering

Related terms: k-means; k-means++; centroid; partitional clustering; non-hierarchical clustering; cluster center