Package elki.clustering.optics
Class OPTICSList<O>
- java.lang.Object
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- elki.clustering.optics.AbstractOPTICS<O>
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- elki.clustering.optics.OPTICSList<O>
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- Type Parameters:
O
- the type of objects handled by the algorithm
- All Implemented Interfaces:
Algorithm
,OPTICSTypeAlgorithm
@Title("OPTICS: Density-Based Hierarchical Clustering (implementation using a list)") @Reference(authors="Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, J\u00f6rg Sander", title="OPTICS: Ordering Points to Identify the Clustering Structure", booktitle="Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD \'99)", url="https://doi.org/10.1145/304181.304187", bibkey="DBLP:conf/sigmod/AnkerstBKS99") public class OPTICSList<O> extends AbstractOPTICS<O>
The OPTICS algorithm for density-based hierarchical clustering.Algorithm to find density-connected sets in a database based on the parameters 'minPts' and 'epsilon' (specifying a volume). These two parameters determine a density threshold for clustering.
This version is implemented using a list, always scanning the list for the maximum. While this could be cheaper than the complex heap updates, benchmarks indicate the heap version is usually still preferable.
Reference:
Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander
OPTICS: Ordering Points to Identify the Clustering Structure
Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD '99)- Since:
- 0.7.0
- Author:
- Elke Achtert, Erich Schubert
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Nested Class Summary
Nested Classes Modifier and Type Class Description private class
OPTICSList.Instance
Instance for processing a single data set.static class
OPTICSList.Par<O>
Parameterization class.-
Nested classes/interfaces inherited from interface elki.Algorithm
Algorithm.Utils
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Constructor Summary
Constructors Constructor Description OPTICSList(Distance<? super O> distance, double epsilon, int minpts)
Constructor.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description ClusterOrder
run(Relation<O> relation)
Run OPTICS on the database.-
Methods inherited from class elki.clustering.optics.AbstractOPTICS
getInputTypeRestriction, getMinPts
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Methods inherited from interface elki.clustering.optics.OPTICSTypeAlgorithm
autorun
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Field Detail
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LOG
private static final Logging LOG
The logger for this class.
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Method Detail
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run
public ClusterOrder run(Relation<O> relation)
Description copied from class:AbstractOPTICS
Run OPTICS on the database.- Specified by:
run
in classAbstractOPTICS<O>
- Parameters:
relation
- Relation- Returns:
- Result
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