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用matlab实现的最近邻算法，可以参考一下,Matlab achieved by nearest neighbor algorithm, you can refer to
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c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索，最小半径搜索-K-NN algorithm implementation.
It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
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自己编写的，TSP问题的各种近似算法，有最近邻策略，最短链接策略-I have written, TSP approximation algorithm for a variety of issues, there are nearest-neighbor strategy, the shortest link strategy
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Straightforward implementation of the exact pairwise
nearest neighbor (PNN) algorithm takes (O3) time-Straightforward implementation of the exact pairwisenearest neighbor (PNN) algorithm takes (O3) time
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K Nearest Neighbor algorithm Implementation and Overview
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模式识别问题最近邻算法的matlab实现，可以模拟实现最近邻法的核心，是一个不错的代码-
Nearest neighbor algorithm for pattern recognition problem of matlab to achieve, can simulate the nearest neighbor method to achieve the core of the code is a good
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knn (k-nearest neighbor)用c++实现的近邻算法-knn (k-nearest neighbor) algorithm
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模式识别问题最近邻算法的matlab实现，可以模拟实现最近邻法的核心，是一个不错的代码,nearest neighbor-Nearest-neighbor algorithm for pattern recognition problem of matlab implementation, can be simulated to achieve the core of the nearest neighbor method is a good code, nearest neighbor
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最近邻算法和双线性插值算法
实现灰度图的缩放
-Nearest neighbor algorithm and the bilinear interpolation algorithm to achieve gray level scaling
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最近邻算法结合卡尔曼滤波算法实现多目标跟踪-Nearest-neighbor algorithm for multi-target tracking
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K-PNN Algorithm
a type of k nearest neighbor algorithm
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matlab 最近邻算法及文献，随时欢迎下载-matlab nearest-neighbor algorithm and literature, feel free to download
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code for approximate nearest neighbor algorithm,最经典的近似搜索算法-code for approximate nearest neighbor algorithm
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In this paper, we present two novel class-based
weighting methods for the Euclidean nearest neighbor algorithm
and compare them with global weighting methods
considering empirical results on a widely accepted time series
classification benchm
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code for K Nearest Neighbor algorithm in java
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In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approx
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从K近邻算法、距离度量谈到KD树、SIFT+BBF算法,讲解详细，非常有用-From K neighbor algorithm and distance measurement when it comes to KD tree, SIFT+ BBF algorithm, explain in detail, very useful
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本程序实现了最近邻分类器的K近邻算法。实现方式是使用matlab-This program implements a nearest neighbor classifier K-nearest neighbor algorithm. Implementation using matlab
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数据挖掘中经典的KNN（K-最近邻）算法，导入即可运行-Data Mining the classical KNN (K- nearest neighbor) algorithm, you can import operation
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模糊k近邻的经典理论之作，很详细，大家可以下载(A Fuzzy K-Nearest Neighbor Algorithm)
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