搜索资源列表
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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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用KNN实现资源分类,代码可扩展性强,而且很有条理-KNN Classification of resources used, code scalability, but also very structured
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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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一个很简单的练习使用KNN分类的代码,学习使用.将K分类写成了函数,方便使用-A very simple exercise using the KNN classification code, learning to use. Will be written in the function K classification, user-friendly
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KNN分类算法源代码 KNN分类算法源代码-KNN classification algorithm source code for KNN classification algorithm source code for KNN classification algorithm source code for
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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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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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java语言实现的KNN算法代码。
KNN就是K最近邻(k-Nearest Neighbor,KNN)分类算法-java language code of the KNN algorithm. KNN is a K-nearest neighbor (k-Nearest Neighbor, KNN) classification algorithm
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使用vc编写的knn分类程序,使分类比较方便-vc knn classification
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Visual Studio windows forms项目实现的KNN分类算法-KNN classification algorithm implemented by Visual Studio, the windows forms project
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KNN分类算法实现人脸识别,数据集为ORL。训练样本分别为2、4、6,其余为测试样本。-KNN classification algorithm for face recognition, the data set for the ORL. 2,4,6 training samples respectively, the rest of the test samples.
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K近邻(KNN):分类算法KNN是non-parametric分类器(不做分布形式的假设,直接从数据估计概率密度),是memory-based learning KNN不适用于高维数据(curse of dimension)-K-Nearest Neighbor (KNN): Classification Algorithm. KNN is a non-parametric classifiers (not to assume that the distribution of forms, fr
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利用Python语言来实现KNN分类,并且实现了交叉验证。-Python language to use KNN classification, and to achieve a cross-validation.
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Performs KNN classification to a set of data points using a given training data and the associated class labels
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实现一个knn 分类器。
使用欧氏距离作为度量距离
使用’my_order.m’函数脚本获得某个点最近的K 个邻居
使用’my_classify.m’函数脚本获得点的类型。
给定参数k,就可以调用这两个函数完成knn 分类器功能。
-Achieve a knn classifier. Using Euclidean distance as a measure of distance using the my_order.m function scr ipt to ge
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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。所谓K最近邻,就是k个最近的邻居的意思,说的是每个样本都可以用它最接近的k个邻居来代表。(Neighborhood algorithm, or K nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of the simplest methods in data mining class
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k临近算法,用于数据分类,此代码为机器学习实战的学习代码(K near algorithm, for data classification, this code for machine learning combat learning code)
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kNN分类算法机器学习实战中python测试代码用例(KNN classification algorithm, machine learning, actual combat, python test code, use case)
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实施KNN算法,并使用KNN改进约会网站,将KNN运用在手写识别系统。(Implement KNN algorithm, and use KNN to improve dating website, use KNN in handwriting recognition system.)
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