ELKI supports many clustering algorithms. A few are listed as follows:
- Affinity propagation clustering algorithm: This is a cluster analysis that uses affinity propagation.
- DBSCAN: This is density based clustering especially for the applications with noise; it finds the sets in the database on the basis of density.
- EM: This algorithm creates clusters based on the expectation maximization algorithm.
- AGNES: Hierarchical agglomerative clustering (HAC), or agglomerative nesting (AGNES), is a classic hierarchical clustering algorithm.
- SLINK: This is the single link algorithm.
- CLINK: This is used for complete linkage.
- HDBSCAN: This is an extracting cluster hierarchy.
Also, KMeansSort, KMeansCompare, KMedianLloyd, KMediodsEM, ...
