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Description
Class Summary | |
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KdTree<T> | An efficient well-optimized kd-tree |
KdTree.DataPoint<T> | A location point and it's value (used for storage of the tree model) |
KdTree.Entry<T> | Stores a distance and value to output |
KdTree.Manhattan<T> | Class for tree with Manhattan distancing |
KdTree.ResultHeap | Class for tracking up to 'size' closest values |
KdTree.SqrEuclid<T> | Class for tree with Unweighted Squared Euclidean distancing |
KdTree.WeightedManhattan<T> | Class for tree with Weighted Manhattan distancing |
KdTree.WeightedSqrEuclid<T> | Class for tree with Weighted Squared Euclidean distancing |
Enum Summary | |
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KdTree.Status | Enumeration representing the status of a node during the running |
Adapted Version of Rednaxela's Kd-tree implementation.
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