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

java.lang.Object
- elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction

All Implemented Interfaces:

elki.Algorithm, ClusteringAlgorithm<Clustering<DendrogramModel>>
```
@Reference(authors="R. J. G. B. Campello, D. Moulavi, J. Sander",
           title="Density-Based Clustering Based on Hierarchical Density Estimates",
           booktitle="Pacific-Asia Conf. Advances in Knowledge Discovery and Data Mining (PAKDD)",
           url="https://doi.org/10.1007/978-3-642-37456-2_14",
           bibkey="DBLP:conf/pakdd/CampelloMS13")
@Priority(205)
public class SimplifiedHierarchyExtraction
extends java.lang.Object
implements ClusteringAlgorithm<Clustering<DendrogramModel>>
```
Extraction of simplified cluster hierarchies, as proposed in HDBSCAN.
In contrast to the authors top-down approach, we use a bottom-up approach based on the more efficient pointer representation introduced in SLINK.
Reference:
R. J. G. B. Campello, D. Moulavi, J. Sander
Density-Based Clustering Based on Hierarchical Density Estimates
Pacific-Asia Conf. Advances in Knowledge Discovery and Data Mining (PAKDD)

Since:

0.7.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description
`protected class`	`SimplifiedHierarchyExtraction.Instance`	Instance for a single data set.
`static class`	`SimplifiedHierarchyExtraction.Par`	Parameterization class.
`private static class`	`SimplifiedHierarchyExtraction.TempCluster`	Temporary cluster.

Nested classes/interfaces inherited from interface elki.Algorithm
elki.Algorithm.Utils

Field Summary

Fields
Modifier and Type	Field	Description
`private HierarchicalClusteringAlgorithm`	`algorithm`	Clustering algorithm to run to obtain the hierarchy.
`private static elki.logging.Logging`	`LOG`	Class logger.
`private int`	`minClSize`	Minimum cluster size.

Constructor Summary

Constructors
Constructor Description

SimplifiedHierarchyExtraction(HierarchicalClusteringAlgorithm algorithm, int minClSize)
Constructor.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`Clustering<DendrogramModel>`	`autorun(elki.database.Database database)`
`elki.data.type.TypeInformation[]`	`getInputTypeRestriction()`
`Clustering<DendrogramModel>`	`run(ClusterMergeHistory merges)`	Process an existing result.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - LOG
```
private static final elki.logging.Logging LOG
```
    Class logger.
  - minClSize
```
private int minClSize
```
    Minimum cluster size.
  - algorithm
```
private HierarchicalClusteringAlgorithm algorithm
```
    Clustering algorithm to run to obtain the hierarchy.
- Constructor Detail
  - SimplifiedHierarchyExtraction
```
public SimplifiedHierarchyExtraction(HierarchicalClusteringAlgorithm algorithm,
                                     int minClSize)
```
    Constructor.
    
    Parameters:
    
    algorithm - Algorithm to run
    
    minClSize - Minimum cluster size
- Method Detail
  - autorun
```
public Clustering<DendrogramModel> autorun(elki.database.Database database)
```
    Specified by:
    
    autorun in interface elki.Algorithm
    
    Specified by:
    
    autorun in interface ClusteringAlgorithm<Clustering<DendrogramModel>>
  - run
```
public Clustering<DendrogramModel> run(ClusterMergeHistory merges)
```
    Process an existing result.
    
    Parameters:
    
    merges - Existing result in pointer representation.
    
    Returns:
    
    Clustering
  - getInputTypeRestriction
```
public elki.data.type.TypeInformation[] getInputTypeRestriction()
```
    Specified by:
    
    getInputTypeRestriction in interface elki.Algorithm