Description
The canopy clustering algorithm is an unsupervised pre-clustering algorithm often used as preprocessing step for the K-means algorithm or the Hierarchical clustering algorithm. It is intended to speed up clustering operations on large data sets.
Technical Details
| Framework | MITRE D3FEND |
| Ontology URI | d3f:CanopyClustering |
| Local Identifier | CanopyClustering |
| Publication Status | Exists in ontology only |