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matlab 源码 KNN classification
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基于MATLAB开发的，是一个不错的分类程序！,MATLAB-based development is a good classification procedure!
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常用的分类方法，包括最近邻（NN），k均值（kmeans），k近邻，Fisher线性判别。-Commonly used classification methods, including nearest-neighbor (NN), k the mean (kmeans), k neighbors, Fisher linear discriminant.
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knn-K近邻法实现两分类的函数代码，输入为两类的样本特征，和待测试的样本向量，输出为分类结果。-knn-K nearest neighbor method to achieve the two categories of function code, enter the characteristics of two types of samples, and samples to be tested vector, the output for the classification.
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一种常用的分类器，常用于人脸识别、掌纹识别等模式识别领域。
-A common classification, commonly used in face recognition, palmprint recognition, pattern recognition.
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一个关于k最近临法分类的matlab程序-A temporary law on the k most recent classification procedures matlab
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SVM,很好用的用于模式识别中特征分类的咚咚。-SVM, a good use for pattern recognition features of the classification of咚咚.
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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
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用mushrooms数据对模式识别课程讲述的各种模式分类方法[线性分类，Bayesian分类，Parzen窗，KNN]和特征选择和降维方法[PCA,LDA]进行了模拟，并给出了各类分类方法的结果，-It s the simulations about linear classification ,Bayesian ,Parzen and KNN of pattern recognition .And ,It gives the results.
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matlab图像处理工具相，使用了主成分分析，ANN，SVM等方法。-This toolBox used in the image processing(feature extraction and classification)
PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others
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pca lda knn 进行分类的pca部分的代码-pca lda knn classification of the pca part of the code
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knn分类程序，基于matlab开发,能实现对文本的分类，达到很好的分类效果，经过运行成功验证-knn classification procedures, based on matlab development, to achieve the classification of the text to achieve a good classification results, after running successfully verified
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KNN classification algorithm
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K nearest neighbour classification.Matlab.
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In this code I have used GA in supervised PCA to find the best coeficients for overall covariance. the classification is made by K-In this code I have used GA in supervised PCA to find the best coeficients for overall covariance. the classification i
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灰度共生矩阵提取特征值，最近邻算法，进行纹理图像分类。creat_apprentissage用来训练样本，cooccurence是灰度共生矩阵提取特征值，knn是进行k最近邻算法，classif是纹理图像分类-coocurence matrix，using K nearest neighbor to classify textures images.
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KNN分类方法，用于文本分类工作的研究。-KNN classification method, for text categorization of the research work
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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 fil
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matlab编写的knn分类算法，在训练集中数据和标签已知的情况下，输入测试数据，将测试数据的特征与训练集中对应的特征进行相互比较，找到训练集中与之最为相似的前K个数据，则该测试数据对应的类别就是K个数据中出现次数最多的那个分类。(KNN classification algorithm written by MATLAB)
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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 displa
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