Description: 一个很简单的练习使用KNN分类的代码,学习使用.将K分类写成了函数,方便使用-A very simple exercise using the KNN classification code, learning to use. Will be written in the function K classification, user-friendly Platform: |
Size: 234496 |
Author:王辉 |
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Description: k近邻(knn)分类的文献,英文的,从IEEE下载得到,希望对大家有用-k neighbors (knn) classification of literature, English, and download from the IEEE has been the hope that useful for everyone Platform: |
Size: 1872896 |
Author:宦若虹 |
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Description: 本实验中的KNN分类算法采用Matlab语言实现。
主函数“knnClass.m”读取训练和测试的数据文件,然后调用knn函数进行分类运算,并使用图像的形式将分类结果显示出来。(The KNN classification algorithm in this experiment is realized by Matlab language.
The main function "knnClass.m" reads the training and test data files, and then calls the knn function for sorting operations and displays the sorting results in the form of images.) Platform: |
Size: 43008 |
Author:岚
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Description: 实施KNN算法,并使用KNN改进约会网站,将KNN运用在手写识别系统。(Implement KNN algorithm, and use KNN to improve dating website, use KNN in handwriting recognition system.) Platform: |
Size: 26624 |
Author:青衣可儿
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Description: matlab实现knn及剪辑KNN,通过自动生成数据集进行knn分类及剪辑KNN分类验证并生成分布图显示。(The KNN and clip KNN are realized by MATLAB. The KNN classification and clip KNN classification are verified by automatically generating data sets, and the distribution map is generated for display.) Platform: |
Size: 4096 |
Author:南风之上 |
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Description: K最近邻(k-Nearest Neighbor,KNN)分类算法,是一个理论上比较成熟的方法,也是最简单的机器学习算法之一。该方法的思路是:在特征空间中,如果一个样本附近的k个最近(即特征空间中最邻近)样本的大多数属于某一个类别,则该样本也属于这个类别。(K-nearest neighbor (KNN) classification algorithm is a relatively mature method in theory and one of the simplest machine learning algorithms. The idea of this method is: in the feature space, if most of the k nearest samples belong to a certain category, then the samples also belong to this category.) Platform: |
Size: 1024 |
Author:厦门彭于晏 |
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Description: 通过knn分类算法识别魔方的色块颜色,加入是否识别成功判断,成功识别率比阈值法识别更高。有完整的备注(Through the KNN classification algorithm to identify the color block of the cube, the success rate is higher than the threshold method. Code has complete comments) Platform: |
Size: 1024 |
Author:tjr2099 |
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