Divisive Clustering

Caesar AI Atlas Definition

Divisive clustering is a top-down form of hierarchical clustering that begins with all data points in one cluster and recursively splits them into smaller clusters. It contrasts with agglomerative clustering, which builds clusters bottom-up by merging smaller groups.

Other Definitions

Divisive Clustering Source

See hierarchical clustering.

Related Terms

Agglomerative Clustering Hierarchical Clustering Clustering Centroid-based Clustering Density-based Spatial Clustering Of Applications With Noise K-means