- checkBalance(KdTree<X>) - Static method in class KdTree
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- Cluster<X extends Jcg.geometry.Point_d> - Class in <Unnamed>
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This class describes how points are associated to a cluster (throw hashing tables)
- Cluster() - Constructor for class Cluster
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- Clustering - Interface in <Unnamed>
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Interface defining methods for clustering of point clouds
- clusters - Variable in class Cluster
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- clusters - Variable in class MeanShiftClustering
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- compare(X, X) - Method in class CoordinateComparator
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Compare two points according to their i-th coordinate (where i=direction)
- computeClusters() - Method in interface Clustering
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Perform main clustering computation
- computeClusters() - Method in class MeanShiftClustering
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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
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- constructDataStructure(PointCloud, int) - Static method in class KdTree
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Construct a Kd-Tree from a point cloud (in dimension pDim)
- constructionTime - Static variable in class FastRangeSearch
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- constructionTime - Static variable in class TestRangeSearch
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- CoordinateComparator<X extends Jcg.geometry.Point_> - Class in <Unnamed>
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Class allowing to compare two points according to a given coordinate
- CoordinateComparator(int) - Constructor for class CoordinateComparator
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- copy(PointCloud, int) - Static method in class PointCloud
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- cutDimension - Variable in class KdTree
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- cutValue - Variable in class KdTree
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