Uses of Class
org.ojalgo.data.cluster.Point

Packages that use Point

Package	Description
org.ojalgo.data.cluster

Uses of Point in org.ojalgo.data.cluster

Fields in org.ojalgo.data.cluster with type parameters of type Point

Modifier and Type	Field	Description
private GeneralisedKMeans<Point>	AutomaticClusterer.myClusterer
private GreedyClustering<Point>	GreedyClusterer.myClusterer
private GeneralisedKMeans<Point>	KMeansClusterer.myClusterer
private RandomClustering<Point>	KMeansClusterer.myInitialiser

Methods in org.ojalgo.data.cluster that return Point

Modifier and Type	Method	Description
(package private) Point	PointDistanceCache.centroid(java.util.Collection<Point> cluster)	Pick the centroid for this cluster (one of its current members)
Point	Point.Factory.newPoint(float... coordinates)
static Point	Point.of(int id, float... coordinates)	Creates a point with the supplied id and coordinates (no defensive copy).

Methods in org.ojalgo.data.cluster that return types with arguments of type Point

Modifier and Type	Method	Description
(package private) java.util.function.Function<java.util.Collection<Point>,Point>	FeatureBasedClusterer.centroid()	Returns a function that computes the centroid of a collection of points.
(package private) java.util.function.Function<java.util.Collection<Point>,Point>	FeatureBasedClusterer.centroid()	Returns a function that computes the centroid of a collection of points.
java.util.List<java.util.Set<Point>>	AutomaticClusterer.cluster(java.util.Collection<Point> input)
java.util.List<java.util.Set<Point>>	GreedyClusterer.cluster(java.util.Collection<Point> input)
java.util.List<java.util.Set<Point>>	KMeansClusterer.cluster(java.util.Collection<Point> input)
java.util.List<java.util.Set<Point>>	SpectralClusterer.cluster(java.util.Collection<Point> input)
(package private) java.util.function.ToDoubleBiFunction<Point,Point>	FeatureBasedClusterer.distance()	Returns a function that computes the distance between two points.
(package private) java.util.function.ToDoubleBiFunction<Point,Point>	FeatureBasedClusterer.distance()	Returns a function that computes the distance between two points.
(package private) java.util.function.Function<java.util.Collection<Point>,java.util.List<Point>>	FeatureBasedClusterer.initialiser()	Returns a function that generates an initial set of centroids from the input points.
(package private) java.util.function.Function<java.util.Collection<Point>,java.util.List<Point>>	FeatureBasedClusterer.initialiser()	Returns a function that generates an initial set of centroids from the input points.
(package private) java.util.List<Point>	PointDistanceCache.initialiser(java.util.Collection<Point> input)	Generate an initial set of centroids

Methods in org.ojalgo.data.cluster with parameters of type Point

Modifier and Type	Method	Description
int	Point.compareTo(Point ref)
(package private) double	FeatureBasedClusterer.distance(Point point1, Point point2)	Returns the distance between two points.
double	Point.distance(DistanceMeasure measure, Point other)	Distance using the supplied DistanceMeasure.
(package private) double	PointDistanceCache.distance(Point point1, Point point2)	Get the distance between these two points.

Method parameters in org.ojalgo.data.cluster with type arguments of type Point

Modifier and Type	Method	Description
(package private) Point	PointDistanceCache.centroid(java.util.Collection<Point> cluster)	Pick the centroid for this cluster (one of its current members)
java.util.List<java.util.Set<Point>>	AutomaticClusterer.cluster(java.util.Collection<Point> input)
java.util.List<java.util.Set<Point>>	GreedyClusterer.cluster(java.util.Collection<Point> input)
java.util.List<java.util.Set<Point>>	KMeansClusterer.cluster(java.util.Collection<Point> input)
java.util.List<java.util.Set<Point>>	SpectralClusterer.cluster(java.util.Collection<Point> input)
(package private) java.util.List<Point>	PointDistanceCache.initialiser(java.util.Collection<Point> input)	Generate an initial set of centroids
static double[]	Point.mean(java.util.Collection<Point> points)
(package private) void	FeatureBasedClusterer.setup(java.util.Collection<Point> input)	Prepares the internal distance cache for the given input points and distance measure.
(package private) void	PointDistanceCache.setup(java.util.Collection<Point> input, DistanceMeasure measure)	Set up the cache (configure this instance)