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5.3.1 Vantage Point Tree •VPT es un árbol binario •Algoritmo de construcción Usar cualquier objeto p como raíz Calcular la mediana de todas las distancias a p Subárbol izquierdo: Subárbol derecho: Proceder recursivamente hasta que sólo haya un objeto en subárbol
8 de ago. de 2023 · VP-Tree结构 1.1 概念 VP-Tree（Vantage Point Tree）在1991年被Uhlmann作者提出，它是一种基于距离的度量空间上的索引结构，是一颗度量二叉树。其基本思想是将 二分查找 用于只有距离信息的多维度量空间中。
VPTrees.VPTree — Type. VPTree(data::Vector{InputType}, metric; threaded=nothing) Construct Vantage Point Tree with a vector of data and given a callable metric. threaded uses threading is only avaible in Julia 1.3+ to parallelize construction of the Tree. When not explicitly set, is set to true when the necessary conditions are met.
algorithm of Multi-Vantage Point Tree in detail, and then propose the enhanced search algorithm. Section 4 elaborates the experiment results to demonstrate that our new search algorithm outperform the original one. Finally, conclusions are discussed in Section 5. 2 Indexing Structure in Metric Space
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A vantage point tree allows to do fast but exact nearest neighbor searches in any space provided that you have a distance function to measure the distance between any two points in that space. This implementation might need some tweaks in case it is used to index a very large number of points (especially the select_vp function in the code).
En se presentó el ``Multi-Vantage Point Tree MVPT el cual proponen el uso de muchos elementos en un nodo. Otra generalización de los VPT está dada por el VPF (Vantage Point Forest) [ Yia93 ]. Este algoritmo está diseñado para búsqueda del vecino más cercano con un radio limitado (una consulta de tipo (b) con radio máximo ).
