搜索资源列表
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用matlab写的最近邻和K近邻法分类器，简单易懂，适合初学者,Written with matlab and K-NN nearest neighbor classifier, easy to understand for beginners
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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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k Nearest Neighbor matlab code
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一个matlab环境下的k近邻分类器,代码中有详细的注释说明,使用方便.-K-Nearest-Neighbor-Classifier MatLab Code
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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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K近邻算法（KNN）的matlab源代码，程序清晰易读-K nearest neighbor (KNN) of matlab source code, procedures legible
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K近邻算法在Matlab中的实现，相当完整，对研究KNN算法有一定帮助-K nearest neighbor in the Matlab, implementation, rather complete, the study of KNN algorithm has certainly helped
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source code for pattern classification k nearest neighbor source code
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一个高效的k-d tree实现，可以广泛的应用与图形图像处理。-K nearest neighbor search based on KD-tree
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K最邻近分类器设计的MATLAB代码，有代码解释-K nearest neighbor classifier design in MATLAB code
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模式识别,用平均样本法、平均距离法、最近邻法、K近邻法进行分类。-Pattern recognition, with an average of the sample method, the average distance method, nearest neighbor, K-NN classification.
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K-PNN Algorithm
a type of k nearest neighbor algorithm
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fuzzy k-nearest-neighbor algotithm-fuzzy k-nearest-neighbor algotithm
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MATLAB 小程序，可以实现模式识别中的K近邻算法，已经运行成功，附运行程序结果-MATLAB small programs can be achieved in the K-nearest neighbor pattern recognition, has been running successfully run the program attached to the results of
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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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本程序实现了最近邻分类器的K近邻算法。实现方式是使用matlab-This program implements a nearest neighbor classifier K-nearest neighbor algorithm. Implementation using matlab
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模式识别实验 k最近邻估计MATLAB程序-Pattern recognition experiments k nearest neighbor estimation MATLAB program
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matlab用于计算K近邻互信息量程序，多变量相关性(K nearest neighbor mutual information computing program)
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k-nn算法 K-NN算法 ( K Nearest Neighbor, K近邻算法 ), 是机器学习中的一个经典算法, 比较简单且容易理解. K-NN算法通过计算新数据与训练数据特征值之间的距离, 然后选取 K (K>=1) 个距离最近的邻居进行分类或者回归. 如果K = 1 , 那么新数据将被分配给其近邻的类.(k-nnK - NN algorithm (K on his Neighbor, K Nearest Neighbor algorithm), is a classical al
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利用matlab实现k-近邻点估计点云法向量求解，(Matlab is used to solve the normal vector of k-nearest neighbor point cloud.)
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