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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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k-nn算法实现分类,模式识别作业,分三类,75个训练集,25个测试集,输出对测试集分类的结果,k-nn classification algorithm, pattern recognition operations are classified into three types, 75 training sets, 25 test set, the output of the test set classification results
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k近邻(knn)分类的文献,英文的,从IEEE下载得到,希望对大家有用,k neighbors (knn) classification of literature, English, and download from the IEEE has been the hope that useful for everyone
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该程序包实现了几个常用的模式识别分类器算法,包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。 主程序中还有接口调用举例,压缩包中还有两个测试数据集文件。-The package to achieve a number of commonly used pattern recognition classifier algorithms, including K neighbor class
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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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一个介绍KNN文本分类技术的不错的文章,大家都来看看啊-An introductory text classification technology KNN good article, everyone来看看啊
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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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Knn算法综述、柔性KNN算法研究、一个高效的knn分类算法、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。-Algorithms Knn, flexible KNN algorithm, an efficient knn classification algorithm, an improved KNN classification algorithm, an optimized K-nearest neighbor collaborative filtering algorith
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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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基于VC++编写的模式识别分类中的KNN算法程序-Written in VC++ based on pattern recognition classification of the KNN algorithm program
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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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3下载:
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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k近邻分类算法,VC++实现的,验证了正确性-k nearest neighbor classification algorithm, VC++ implementation to verify the correctness
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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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基于贝叶斯-KNN文本分类算法的设计与实现。
是贝叶斯和KNN两种分类算法的结合。-Bayesian-KNN text categorization algorithm design and implementation. Bayes and KNN is a combination of two kinds of classification algorithms.
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classification des image satilitaire par k-means
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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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