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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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线形判别分析算法和knn最近邻算法的实现,Linear discriminant analysis algorithm and KNN nearest neighbor algorithm
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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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使用C语言编写的最近邻算法，可以直接运行，算法是对鸢尾花数据进行了分类。-Written in C language using the nearest neighbor algorithm can be run directly, the algorithm is the iris data are classified.
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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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knn (k-nearest neighbor)用c++实现的近邻算法-knn (k-nearest neighbor) algorithm
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本次大作业利用K‐近邻（K‐Nearest Neighbor）算法，为给定的训练数据集构造了分类器，
并在测试数据集上进行分类预测，同时计算了Accuracy、Precision、Recall和F‐measure，利用
10‐fold的实验方法进行交叉验证。-The big job to use K-neighbor (K-Nearest Neighbor) algorithm, for a given set of training data classifier is constru
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KNN 是K最邻近结点算法（k-Nearest Neighbor algorithm）的缩写形式，是电子信息分类器算法的一种。KNN方法对包容型数据的特征变量筛选尤其有效。-a machine learning algorithm
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K近邻算法，对一段数据进行分类，word 说明文档-K 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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svm分类的面确定，使用了最近邻的算法，归类以后得到一个分界面-svm classification of the surface determined using the nearest neighbor algorithm, obtained after classification of a sub-interface
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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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一个用K近邻实现分类的算法，k最近邻算法是模式识别中的一种比较简单而经典的分类算法-Achieved with a K-nearest neighbor classification algorithms, k-nearest neighbor algorithm for pattern recognition is a relatively simple and classic 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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Delphi realization of k-nearest neighbor algorithm.
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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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提出了一种改进的散乱数据点k近邻搜索算法-An improved algorithm for searching points’k nearest neighbor is presented
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最近邻算法，实现。有数据，可以直接运行，并显示效果-Nearest neighbor algorithm.Data can be run directly, and can display
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利用K近邻法实现数字识别算法。误差小，识别效率高，网络训练速度快。-K-nearest neighbor algorithm, digital identification algorithm. Error is small, high recognition efficiency and speed of network training.
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