Computational Geometry
Height, in the context of kd-trees, refers to the length of the longest path from the root node to a leaf node in the tree structure. This measure is crucial because it directly influences the efficiency of search operations; a shorter height generally leads to faster query times, while a taller tree can lead to increased computational overhead during searches and insertions.
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