搜索资源列表
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k NN algorithm nearest neighbor search
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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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用Visual C++6.0编写的模式识别中的最近邻算法-Written using Visual C++6.0 pattern recognition in the nearest neighbor algorithm
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knn最近邻算法在给定新文本后，考虑在训练文本集中与该新文本距离最近（最相似）的 K 篇文本，根据这 K 篇文本所属的类别判定新文本所属的类别，具体的算法步骤如下：
一、:根据特征项集合重新描述训练文本向量
二、:在新文本到达后，根据特征词分词新文本，确定新文本的向量表示
三、:在训练文本集中选出与新文本最相似的 K 个文本-knn nearest neighbor algorithm in the given text, to consider in the train
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Using the nearest neighbor algorithm for clustering and classification of random samples and calculate the classification rate, compared to the algorithm including modified versions
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k-nearest neighbor algorithm
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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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Basic implementation of k nearest neighbor algorithm. I have implemented it for a Machine Learning lecture homework.
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最近邻算法实现
k近邻
Z为训练集，每行一个样本，n*m
labZ为与Z对应的类别，列向量
Z_T为测试集，每行一个样本，p*m
labZ_T为输出结果,p*1-Nearest-neighbor algorithm
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k nearest neighbor algorithm for matlab
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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。-k-Nearest Neighbor algorithm， It is a very useful matlab code.
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Implement the K nearest neighbor algorithm by your own instead of using available software.
2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result.
3. T
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KNN k s nearest neighbor algorithm-KNN k' s nearest neighbor algorithm
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文档包括双线性插值算法和最近邻域算法的详细介绍，以及算法的相关计算。-Documentation includes bilinear interpolation algorithm and the nearest neighbor algorithm which is described in detail, as well as algorithms related calculations.
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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。-In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method for classification and regression, that predicts objects "values"
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C语言实现1NN最近邻算法，可用于时间序列的分类，准确率高-C language implementation 1NN nearest neighbor algorithm, used to classify time series, high accuracy
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最近邻算法，一个经典的算法。供初学者参考。-The nearest neighbor algorithm, a classic algorithm. For beginners reference.
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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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自己编写的最近邻KNN算法，采用的距离是欧氏距离，附加了详细的中文注释，还有一个测试集和一个训练集-
I have written KNN nearest neighbor algorithm, the distance is the Euclidean distance, additional detailed notes in Chinese, as well as a test set and a training set
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调用于sklearn平台的K-Nearest Neighbor Classifier算法，有着较好的分类能力(The k-nearest Neighbor Classifier algorithm for sklearn platform has good classification ability.)
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