V
- the type of NumberVector handled by this Algorithm@Title(value="PreDeCon: Subspace Preference weighted Density Connected Clustering") @Description(value="PreDeCon computes clusters of subspace preference weighted connected points. The algorithm searches for local subgroups of a set of feature vectors having a low variance along one or more (but not all) attributes.") @Reference(authors="Christian B\u00f6hm, Karin Kailing, Hans-Peter Kriegel, Peer Kr\u00f6ger", title="Density Connected Clustering with Local Subspace Preferences", booktitle="Proc. 4th IEEE Int. Conf. on Data Mining (ICDM\'04)", url="https://doi.org/10.1109/ICDM.2004.10087", bibkey="DBLP:conf/icdm/BohmKKK04") public class PreDeCon<V extends NumberVector> extends GeneralizedDBSCAN
Reference:
Christian Böhm, Karin Kailing, Hans-Peter Kriegel, Peer Kröger
Density Connected Clustering with Local Subspace Preferences.
Proc. 4th IEEE Int. Conf. on Data Mining (ICDM'04)
Modifier and Type | Class and Description |
---|---|
static class |
PreDeCon.Parameterizer<V extends NumberVector>
Parameterization class.
|
static class |
PreDeCon.Settings
Class containing all the PreDeCon settings.
|
GeneralizedDBSCAN.Instance<T>
Modifier and Type | Field and Description |
---|---|
private static Logging |
LOG
The logger for this class.
|
coremodel, corepred, npred
ALGORITHM_ID
Constructor and Description |
---|
PreDeCon(PreDeCon.Settings settings)
Constructor.
|
Modifier and Type | Method and Description |
---|---|
protected Logging |
getLogger()
Get the (STATIC) logger for this class.
|
getInputTypeRestriction, run
private static final Logging LOG
public PreDeCon(PreDeCon.Settings settings)
settings
- PreDeCon settings.protected Logging getLogger()
AbstractAlgorithm
getLogger
in class GeneralizedDBSCAN
Copyright © 2019 ELKI Development Team. License information.