HierarchicalClusteringAlgorithm (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

All Superinterfaces:

elki.Algorithm

All Known Implementing Classes:

AGNES, Anderberg, CLINK, HACAM, HDBSCANLinearMemory, LinearMemoryNNChain, MedoidLinkage, MiniMax, MiniMaxAnderberg, MiniMaxNNChain, NNChain, OPTICSToHierarchical, SLINK, SLINKHDBSCANLinearMemory
```
public interface HierarchicalClusteringAlgorithm
extends elki.Algorithm
```
Interface for hierarchical clustering algorithms.
This interface allows the algorithms to be used by, e.g., CutDendrogramByNumberOfClusters and CutDendrogramByHeight.

Since:

0.6.0

Author:

Erich Schubert

- Nested Class Summary
  - Nested classes/interfaces inherited from interface elki.Algorithm
    elki.Algorithm.Utils
- Method Summary
  
  All Methods Instance Methods Default Methods
  Modifier and Type Method Description
  
  default ClusterMergeHistory autorun(elki.database.Database database)
  - Methods inherited from interface elki.Algorithm
    getInputTypeRestriction

Method Detail

autorun

default ClusterMergeHistory autorun(elki.database.Database database)

Specified by:: autorun in interface elki.Algorithm