Uses of Class
noduledistances.imagej.ClumpClusterPoint

Uses of ClumpClusterPoint in noduledistances.imagej

Methods in noduledistances.imagej that return types with arguments of type ClumpClusterPoint

Modifier and Type	Method	Description
List<ClumpClusterPoint>	RoiOverlay.getHaltonSequence(ij.gui.ShapeRoi roi)	Computes the halton sequence for a given ROI to create a sample of uniformly distributed points within the Roi polygon by intersecting the halton sequence with the polygon.
List<ClumpClusterPoint>	RoiOverlay.getHaltonVectors(int numberOfPoints, Rectangle boundingBox)	Computes generic halton vectors, and scales them to fill a bounding box.
static List<org.apache.commons.math3.ml.clustering.CentroidCluster<ClumpClusterPoint>>	RoiOverlay.kMeansClustering(List<ClumpClusterPoint> points, int k)	performs k-means clustering on a given set of points to break nodule clumps into k parts.

Method parameters in noduledistances.imagej with type arguments of type ClumpClusterPoint

Modifier and Type	Method	Description
protected ArrayList<ij.gui.ShapeRoi>	RoiOverlay.breakupClump(ij.gui.ShapeRoi roi, int numNods, List<org.apache.commons.math3.ml.clustering.CentroidCluster<ClumpClusterPoint>> clusters)	Uses the computed clusters to breakup the given roi into an arrayList of individual Rois.
static List<org.apache.commons.math3.ml.clustering.CentroidCluster<ClumpClusterPoint>>	RoiOverlay.kMeansClustering(List<ClumpClusterPoint> points, int k)	performs k-means clustering on a given set of points to break nodule clumps into k parts.