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基于内容的多媒体数据库检索算法：
用于最近邻搜索的R*-tree算法-content-based multimedia database search algorithm : Nearest Neighbor Search for the R *- tree algorithm
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用VC。NET2005实现优秀的最近邻搜索算法LB-TREE的模拟和图形显示。具有建立优良数据结构和搜索功能-VC.NET2005 achieve outstanding nearest neighbor search algorithm LB-TREE simulation and graphics. With excellent data structure and search functions
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The approximate nearest neighbor search code is contained in this zip file. You can use the data contained in to see how the program works.
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一个小而有效的程序来执行的K -近邻搜索算法，此算法利用JIT 理论加速循环，比向量化有效解决了大量数据的精度问题。甚至比kd-tree效果要佳-A small and effective procedures to implement the K- nearest neighbor search algorithm, this algorithm uses JIT acceleration cycle theory, than to solve a lot of data to quantif
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最近邻搜索算法，k_tree算法的大部分中文文献-Nearest neighbor search algorithm, k_tree algorithm for most of the Chinese literature
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k NN algorithm nearest neighbor search
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一个高效的k-d tree实现，可以广泛的应用与图形图像处理。-K nearest neighbor search based on KD-tree
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寻找测试样本的最近邻，可以有效的用于用于模式识别，信号处理-This is a small but efficient tool to perform K-nearest neighbor search, which has wide Science and Engineering applications, such as pattern recognition, data mining and signal processing.
The code was initially
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code for approximate nearest neighbor search
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MATLAB 聚类和近邻搜索模块代码如下-MATLAB clustering and nearest neighbor search module code is as follows
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Algorithms for Nearest Neighbor Search
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大规模图像检索的代码，matlab与c++混合编程。总结了目前图像检索领域目前主要存在的方法。通过阅读该代码，可以对于经典的“词袋”模型（bow模型）有个具体的了解，但是该代码没有提供前序的特征提取，是直接从对提取好的特征向量聚类开始的，包括了k-means，分层k-means（HKM）聚类，倒排文件的建立和索引等，该代码还提供了局部敏感哈希（LSH）方法。最后，这份代码是下面这篇论文的作者提供的，
Indexing in Large Scale Image Collections: Sc
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一种用近邻搜索法解决VRP问题的源代码，可以解决多种问题-Source code of a nearest neighbor search method to solve the VRP problem
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vp-tree动态索引对于给定成对的距离搜索
搜索相邻……
该文章为国外文献 以供各位参考-Dynamic vp-tree indexing for n-nearest neighbor search for foreign literature for the reference to the given pairs from the article
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这是一个小而有效的程序来执行的K -近邻搜索算法，此算法利用JIT 理论加速循环，比向量化有效解决了大量数据的精度问题。甚至比kd-tree效果要佳。
K-nearest neighbor search已经广泛应用在科学与工程上，比如模式识别，数据挖掘和信号处理。
-This is a small and effective procedures to implement the K- nearest neighbor search algorithm, this algorithm J
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K邻近快速算法，包含有独立的样本分解算法，树搜索算法，稍作改动便可以满足各种要求。-K adjacent fast algorithm contains a separate sample decomposition algorithm, the tree search algorithm, some minor changes will meet a variety of requirements.
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对大量文件中相关内容的搜索，k近邻查询算法及一些改进-A large number of files in the search k nearest neighbor query algorithm and some improvements
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K nearest neighbor search for matlab
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自适应空间球的k邻域快速搜索算法，利用空间微分块与动态球策略的k近邻搜索算法研究-Origianl-Adaptive spatial neighborhood k ball fast search algorithm, differential block the use of space and dynamic ball strategy k nearest neighbor search algorithm-Origianl
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Conventional spatial queries, such as range search and nearest neighbor retri , involve only conditions on objects’ geometric properties. Today, many modern applications call for novel forms of queries that aim to find objects satisfying both a spati
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