Uses of Interface
elki.clustering.dbscan.predicates.CorePredicate

Packages that use CorePredicate

Package	Description
elki.clustering.dbscan	DBSCAN and its generalizations.
elki.clustering.dbscan.parallel	Parallel versions of Generalized DBSCAN.
elki.clustering.dbscan.predicates	Neighbor and core predicated for Generalized DBSCAN.

Uses of CorePredicate in elki.clustering.dbscan

Fields in elki.clustering.dbscan declared as CorePredicate

Modifier and Type	Field	Description
protected CorePredicate<?>	GeneralizedDBSCAN.corepred	The core predicate factory.
protected CorePredicate<?>	GeneralizedDBSCAN.Par.corepred	Core point predicate.

Constructors in elki.clustering.dbscan with parameters of type CorePredicate

Constructor	Description
GeneralizedDBSCAN(NeighborPredicate<?> npred, CorePredicate<?> corepred, boolean coremodel)	Constructor for parameterized algorithm.

Uses of CorePredicate in elki.clustering.dbscan.parallel

Fields in elki.clustering.dbscan.parallel declared as CorePredicate

Modifier and Type	Field	Description
protected CorePredicate<?>	ParallelGeneralizedDBSCAN.corepred	The core predicate factory.
protected CorePredicate<?>	ParallelGeneralizedDBSCAN.Par.corepred	Core point predicate.

Constructors in elki.clustering.dbscan.parallel with parameters of type CorePredicate

Constructor	Description
Instance(Database database, NeighborPredicate<T> npreds, CorePredicate<? super T> corepred, boolean coremodel)	Full Constructor
ParallelGeneralizedDBSCAN(NeighborPredicate<?> npred, CorePredicate<?> corepred, boolean coremodel)	Constructor for parameterized algorithm.

Uses of CorePredicate in elki.clustering.dbscan.predicates

Classes in elki.clustering.dbscan.predicates that implement CorePredicate

Modifier and Type	Class	Description
class	FourCCorePredicate	The 4C core point predicate.
class	MinPtsCorePredicate	The DBSCAN default core point predicate -- having at least MinPtsCorePredicate.minpts neighbors.
class	PreDeConCorePredicate	The PreDeCon core point predicate -- having at least minpts. neighbors, and a maximum preference dimensionality of lambda.