Description
Centroid-based clustering organizes the data into non-hierarchical clusters, in contrast to hierarchical clustering defined below. K-means is the most widely-used centroid-based clustering algorithm. Centroid-based algorithms are efficient but sensitive to initial conditions and outliers.
Technical Details
| Framework | MITRE D3FEND |
| Ontology URI | d3f:Centroid-basedClustering |
| Local Identifier | Centroid-basedClustering |
| Publication Status | Exists in ontology only |