Visible to Intel only — GUID: GUID-E966C9BB-FCCF-499E-93C5-C20C76279D21
Visible to Intel only — GUID: GUID-E966C9BB-FCCF-499E-93C5-C20C76279D21
k-d Tree
k-d tree is a space-partitioning binary tree [Bentley80], where
Each non-leaf node induces the hyperplane that splits the feature space into two parts. To define the splitting hyperplane explicitly, a non-leaf node stores the identifier of the feature (that defines axis in the feature space) and a cut-point
Each leaf node of the tree has an associated subset (a bucket) of elements of the training data set. Feature vectors from a bucket belong to the region of the space defined by tree nodes on the path from the root node to the respective leaf.
Related terms
- A cut-point
-
A feature value that corresponds to a non-leaf node of a k-d tree and defines the splitting hyperplane orthogonal to the axis specified by the given feature.