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C

checkBalance(KdTree<X>) - Static method in class KdTree
 
Cluster<X extends Jcg.geometry.Point_d> - Class in <Unnamed>
This class describes how points are associated to a cluster (throw hashing tables)
Cluster() - Constructor for class Cluster
 
Clustering - Interface in <Unnamed>
Interface defining methods for clustering of point clouds
clusters - Variable in class Cluster
 
clusters - Variable in class MeanShiftClustering
 
compare(X, X) - Method in class CoordinateComparator
Compare two points according to their i-th coordinate (where i=direction)
computeClusters() - Method in interface Clustering
Perform main clustering computation
computeClusters() - Method in class MeanShiftClustering
Main algorithm for detecting all clusters Clusters are detected iteratively (until all points are processed) Clusters are merged if required: when the corresponding peaks are close
computeRandomColors(int, Color[]) - Static method in class Draw
 
constructDataStructure(PointCloud, int) - Static method in class KdTree
Construct a Kd-Tree from a point cloud (in dimension pDim)
constructionTime - Static variable in class FastRangeSearch
 
constructionTime - Static variable in class TestRangeSearch
 
CoordinateComparator<X extends Jcg.geometry.Point_> - Class in <Unnamed>
Class allowing to compare two points according to a given coordinate
CoordinateComparator(int) - Constructor for class CoordinateComparator
 
copy(PointCloud, int) - Static method in class PointCloud
 
cutDimension - Variable in class KdTree
 
cutValue - Variable in class KdTree
 
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