Uses of Class
ffx.numerics.clustering.Distance

Packages that use Distance

Package	Description
ffx.numerics.clustering	The clustering package provides hierarchical agglomerative clustering utilities, including linkage strategies (single, complete, average, weighted), distance map management, and supporting data structures and algorithms.

Uses of Distance in ffx.numerics.clustering

Methods in ffx.numerics.clustering that return Distance

Modifier and Type	Method	Description
Distance	AverageLinkageStrategy.calculateDistance(Collection<Distance> distances)	Computes the average of the provided distances.
Distance	CompleteLinkageStrategy.calculateDistance(Collection<Distance> distances)	Computes the complete-linkage distance, i.e., the maximum of provided distances.
Distance	LinkageStrategy.calculateDistance(Collection<Distance> distances)	Computes the linkage distance between two clusters from a collection of pairwise distances between their members (and possibly weights).
Distance	SingleLinkageStrategy.calculateDistance(Collection<Distance> distances)	Computes the single-linkage distance, i.e., the minimum of provided distances.
Distance	WeightedLinkageStrategy.calculateDistance(Collection<Distance> distances)	Computes a weighted average of provided distances using their weights.
Distance	Distance.clone()	Creates a clone of this Distance.
Distance	Cluster.getDistance()	Gets the Distance metadata for this cluster (linkage distance and weight).

Methods in ffx.numerics.clustering with parameters of type Distance

Modifier and Type	Method	Description
int	Distance.compareTo(Distance distance)	Compares by distance value, with null other treated as greater (this < other).
void	Cluster.setDistance(Distance distance)	Sets the Distance metadata for this cluster.

Method parameters in ffx.numerics.clustering with type arguments of type Distance

Modifier and Type	Method	Description
Distance	AverageLinkageStrategy.calculateDistance(Collection<Distance> distances)	Computes the average of the provided distances.
Distance	CompleteLinkageStrategy.calculateDistance(Collection<Distance> distances)	Computes the complete-linkage distance, i.e., the maximum of provided distances.
Distance	LinkageStrategy.calculateDistance(Collection<Distance> distances)	Computes the linkage distance between two clusters from a collection of pairwise distances between their members (and possibly weights).
Distance	SingleLinkageStrategy.calculateDistance(Collection<Distance> distances)	Computes the single-linkage distance, i.e., the minimum of provided distances.
Distance	WeightedLinkageStrategy.calculateDistance(Collection<Distance> distances)	Computes a weighted average of provided distances using their weights.