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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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实现中文网页分类，使用贝叶斯和KNN算法，基本功能可实现-The achievement of the Chinese web page classification, the use of Bayes and KNN algorithm, the basic functions can be realized
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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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K=5的K近邻分类，训练样本集含有30个样本,矢量长度为5-K = 5 K-neighbor classification, the training sample set containing 30 samples, vector length of 5
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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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knn算法，用kNN算法对鸢尾花数据进行了分类-knn algorithm, kNN algorithm with a classification of the iris data
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文本分类软件c++（中科大分词软件+knn分类器）-Text classification software c++ (USTC segmentation software+ knn classifier)
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多种分类模式的文本分类器，支持SVM，KNN,贝叶斯等-svm，knn classification
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KNN Classification Regression
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实现了数据集的随机划分，并且能计算测试集的准确率(First, the random partition of the data set is realized, and the accuracy of the test set can be calculated by the KNN classification algorithm)
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classification des image satilitaire par k-means
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Classification K-Neirest Neighbours
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邻近算法，或者说K最近邻(kNN，k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一(The adjacent algorithm, or the K nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of the simplest methods in the data mining classification technique)
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通过K-NN（K临近）算法，python语言实现glass数据集的分类，压缩包里包括glass.txt数据集。(The classification of glass data sets by KNN algorithm)
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Code and Data for K-nearest neighbor classification.
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利用K近邻算法实现的文本分类器
提供分属于20个类别的20000个新闻文本，每个类别含1000个文本。(Text classification using KNN)
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KNN classification for test and train data
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基于matlab的KNN以及FISHER准则分类代码，附带算例。(Matlab based KNN and FISHER criteria classification code, with examples.)
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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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高光谱图像knn分类算法，在PaviaU和Indianpines数据集上测试(Knn classification algorithm for hyperspectral images, tested on PaviaU and Indianpines datasets)
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