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本程序是一个最近邻分类算法的演示程序，本程序完成了三种最近邻的演示并实现算法的分析-this procedure is a nearest neighbor classification algorithm the demo program, the completion of a three - Nearest Neighbor algorithm demonstration and analysis
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K-Nearest neighbour algorithm-K - Nearest neighbor algorithm
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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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K近邻算法在Matlab中的实现，相当完整，对研究KNN算法有一定帮助-K nearest neighbor in the Matlab, implementation, rather complete, the study of KNN algorithm has certainly helped
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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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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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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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期望最大化的算法代码，类似于k近邻，分为两个步骤：E步骤和M步骤。-Expectation maximization algorithm code, similar to the k nearest neighbor, is divided into two steps: E steps and M steps.
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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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传统基本K-最邻近分类算法源程序 云计算-Traditional basic K-nearest neighbor classification algorithm source code
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java语言实现的KNN算法代码。
KNN就是K最近邻(k-Nearest Neighbor，KNN)分类算法-java language code of the KNN algorithm. KNN is a K-nearest neighbor (k-Nearest Neighbor, KNN) classification algorithm
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关于K近邻算法的详细描述，包括算法原理及应用背景。-K-nearest neighbor algorithm on a detailed descr iption, including algorithm theory and application background.
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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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