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KNN是一种有效的模式识别分类算法，本文件在Matlab平台实现KNN算法在模式识别中的运用。-KNN is an effective pattern recognition classification algorithms, this document is in the Matlab platform implementation KNN algorithm in the application of pattern recognition.
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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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中文自动分类。使用spider抓取网络信息，利用lucene的分词及KNN方法。-Chinese automatic classification. The use of spider crawl network information, the use of Lucene sub-word and KNN methods.
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本算法是实现基于KNN的基因遗传算法，是对KNN算法的改进，具有更好的分类效果。-gaKnn[Genetic Algorithm Optimized K Nearest Neighbor Classification framework] is a frameowork for KNN optimization with a genetic algorithm.
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包含了很多分类算法，有SVM，knn，决策树等，还有文档说明-Contains a lot of classification algorithms, there is SVM, knn, decision tree and so on, have documented
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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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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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支持向量机用于回归预测的部分，功能强大又简单容易理解，用于模式识别的好工具-Parts of SVM for predict,gteat function and easy to understand, a good machine for classification
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可嵌入weka 的粗糙集分类算法程序
-Can be embedded in the rough set classification algorithm weka program
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This paper presents the top 10 data mining algorithms identified by the IEEE
International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM,
Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
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K-nearest neighbor classifier (k-NN) is a nonparametric approach for classification. It does not require the priori knowledge such as priori probabilities and the conditional probabilities. It operates directly towards the samples and is categorized
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在分类算法研究onThe应用运行长度的车型分类研究中使用坡道SVM和K近邻-The Research of Vehicle Classification Using SVM and KNN in a ramp
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SVM 神经网络 数据分类预测 葡萄酒种类识别-SVM neural network prediction wines identification data classification
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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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EM聚类算法，Knn分类算法简单C++编程-EM clustering algorithm, Knn classification algorithm is simple C++ programming
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利用matlab，knn最近邻分类算法，可直接调用-Using matlab, knn nearest neighbor classification algorithm can be directly invoked
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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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OAO SVM classification
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采用KNN分类算法对输入的文本数据进行自动分类-KNN classification algorithm using the input data for automatic classification of text
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