Canopy Clustering

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.

References

Wikipedia. (n.d.). Canopy clustering algorithm. Link