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K最近邻C实现，测试通过，可以使用，主要适用于数据库定位方法-K nearest neighbor C implementation, the test passes, you can use, mainly applied to the database location method
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本文比较研究了在中文文本分类中特征选取方法对分类效果的影响。考察了文档频率DF、信息增
益IG、互信息MI、V2分布CHI 四种不同的特征选取方法。采用支持向量机(SVM) 和KNN两种不同的分类
器以考察不同抽取方法的有效性。实验结果表明, 在英文文本分类中表现良好的特征抽取方法( IG、MI 和
CHI)在不加修正的情况下并不适合中文文本分类。文中从理论上分析了产生差异的原因, 并分析了可能的
矫正方法包括采用超大规模训练语料和采用组合的特征抽取方法。最后通过实验验证组合特征
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In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space.
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KNN经典程序。用于经典非线性计算。-K-Nearest Neighbor code, by myself.
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K近邻分类器，用于模式识别等领域，该程序短小精悍，适合与ANN和SVM进行比较研究，本人多篇论文用到，效果较好。-K-nearest neighbor classifier is often used in pattern recognition and other fields. It is suitful for a comparative study with ANN and SVM. I have published some papers used the code. The effe
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Knn算法综述、柔性KNN算法研究、一个高效的knn分类算法法、一种改进的KNN分类算法、一种优化的K最近邻协同过滤算法。
-The Knn algorithm summarized flexible KNN algorithm, an efficient knn classification algorithm method, an improved KNN classification algorithm, an optimized K nearest neighbor collabor
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这是一个小而有效的程序来执行的K -近邻搜索算法，此算法利用JIT 理论加速循环，比向量化有效解决了大量数据的精度问题。甚至比kd-tree效果要佳。
K-nearest neighbor search已经广泛应用在科学与工程上，比如模式识别，数据挖掘和信号处理。
-This is a small and effective procedures to implement the K- nearest neighbor search algorithm, this algorithm J
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基于双低频小波变换和k近邻分类器的人脸识别算法源程序-Dual low frequency wavelet transform and k-nearest neighbor classifier based face recognition algorithm source
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一些典型的模式分类及聚类方法 包括k均值 FDA PCA LMS 贝叶斯 K近邻-The typical pattern classification and clustering methods including k-means FDA PCA LMS Bayesian K-nearest neighbor
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In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approx
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模式识别-手写签名识别系统识别！使用K近邻，Bayes分类！-Pattern recognition- recognition of handwritten signature recognition system! Using the K-nearest neighbor and Bayes classification!
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K-Nearest Neighbor, KNN algorithm classifier, with different complexity levels.
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本程序主要是实现knn算法，KNN(k Nearest Neighbors)算法又叫k最临近方法，在分类和模式识别方面都有重要的应用。-The program mainly knn algorithm ，KNN (k Nearest Neighbors) algorithm also known as k nearest neighbor method has important applications in classification and pattern recognition.
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基于MD-CKNN算法的连续K近邻查询系统,与传统的Find-NN算法进行性能对比-MD-CKNN algorithm-based continuous K-nearest neighbor query system, its performance is compared with traditional Find-NN algorithm
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本程序中,训练样本集含有30个样本,矢量长度为5,对样本{1,18,11,11,0.5513196}进行K=5的K-最近邻分类.
样本从文件data.txt中读取，程序运行结果显示所有样本以及其类别，待分类样本所属的类别（{1,18,11,11,0.5513196}属于"2"类），以及它的5个最近邻的类别和与它之间的距离。-In this program, the training sample set containing 30 samples, the vector length
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k-nearest neighbor algorithm
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KNN(K最近邻)分类算法以及K-means(K均值)聚类算法是应用广泛的两种算法。本代码是在VS2010环境下，用 C++语言在基于KNN及K-means算法下，实现了对Iris数据集的分类与聚类。-KNN (K nearest neighbor) classification algorithm, as well as K-means (K mean) clustering algorithm is widely used two algorithms. The code VS2010 en
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模式识别大作业K近邻算法（KNN）C++实现，内有iris和wine数据测试以及其他相关资料。-, Pattern Recognition large job K nearest neighbor algorithm (KNN) C++ achieved within the iris and wine data testing and other relevant information.
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Basic implementation of k nearest neighbor algorithm. I have implemented it for a Machine Learning lecture homework.
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用matlab实现K近邻算法，用于数据挖掘的分类-K-nearest neighbor algorithm for the classification of data mining using matlab
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