搜索资源列表
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6下载:
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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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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KNN classification algorithm
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K nearest neighbour classification.Matlab.
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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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对随机选择的iris数据,用LDA进行特征提取,然后用K近邻分类器分类的完整程序-Feature extraction using LDA,and perform classification via KNN
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基于焊接图片的pca降维,knn分类算法。-Pca-based solder image dimension reduction, knn classification algorithm.
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KNN分类方法的MATLAB代码,可以用于数据挖掘中的K最邻近值聚类方法的实现-KNN classification of MATLAB code
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这是一个完善的KNN算法。算法清晰,备注明确,分类效果良好。-This is a perfect KNN algorithm. Algorithm is clear, clear notes, a good classification results.
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先用gabor 小波滤波器,做特征提取,然后用支持向量机(SVM)做分类,来实现人脸检测.需要用matlab 2010 或更新的版本才能运行-the code is used for face detection.Firstly it use gabor wavelet filter for feature extraction,Secondly it use support vector machine (SVM)for classification.matlab 2010 required.
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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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KNN Classification Matlab
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KNN Classification Code Matlab
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KNN 分类算法,还有列子,使用matlab编写的-KNN classification
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用matlab实现KNN算法 用matlab实现KNN算法 -using matlab to implement K-Nearest Neighbour classification. matlab matlab matlab matlab matlab KNN KNN KNN KNN KNN KNN KNN KNN KNN KNN KNN
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knn分类器原理实现,可等同于matlab自带KNN函数-knn classification principle to achieve, can be equated with matlab function comes KNN
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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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