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, npredALGORITHM_ID| Constructor and Description | 
|---|
PreDeCon(PreDeCon.Settings settings)
Constructor. 
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| Modifier and Type | Method and Description | 
|---|---|
protected Logging | 
getLogger()
Get the (STATIC) logger for this class. 
 | 
getInputTypeRestriction, runprivate static final Logging LOG
public PreDeCon(PreDeCon.Settings settings)
settings - PreDeCon settings.protected Logging getLogger()
AbstractAlgorithmgetLogger in class GeneralizedDBSCANCopyright © 2019 ELKI Development Team. License information.