搜索资源列表
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K均值算法和K近邻算法,以及用MATLAB实现相关例子。-K-means algorithm and the K-nearest neighbor algorithm, and using MATLAB relevant examples.
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假近邻法(False Nearest Neighbor, FNN)计算嵌入维的Matlab程序
文件夹说明:
Main_FNN.m - 程序主函数,直接运行此文件即可
LorenzData.dll - 产生Lorenz时间序列
PhaSpaRecon.m - 相空间重构
fnn_luzhenbo.dll - 假近邻计算主函数
SearchNN.dll - 近邻点搜索
buffer_SearchNN_1.dll - 近邻点搜索缓存1
buffer_Search
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使用matlab实现的KNN分类器,可以设置最近邻的个数-Implemented using the KNN classifier matlab, you can set the number of nearest neighbor
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k近邻算法 均值算法 中值算法 针对高斯和椒盐图像去噪-means algorithm k nearest neighbor algorithm in the value of denoising for Gaussian and salt and pepper
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是K最邻近结点算法(k-Nearest Neighbor algorithm)的缩写形式,是电子信息分类器算法的一种。KNN方法对包容型数据的特征变量筛选尤其有效。-k-Nearest Neighbor algorithm, It is a very useful matlab code.
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十大经典人工智能算法之一——K最近邻Matlab实现-One of the top ten classical artificial intelligence algorithms- K nearest neighbor Matlab implementation
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分别用最邻近插值算法和双线性插值算法在matlab上实现图像的缩放.word文档。附有算法原理以及实现效果。-Image scaling using the nearest neighbor interpolation algorithm and bilinear interpolation algorithms were implemented on matlab
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图像插值算法有三种:最近邻插值、双线性插值和双三次插值,这里有前两种插值算法的matlab程序-Image interpolation algorithm has three: nearest neighbor interpolation, bilinear interpolation and bicubic interpolation, here are the first two interpolation algorithm matlab program
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最近邻法 matlab编写-Nearest neighbor method of matlab source code
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matlab 分别利用邻域平均和K点平均对椒盐噪声图像,高斯噪声图像,乘性噪声图像进行处理,比较两者的差别-matlab use neighborhood were average and K-point average for salt and pepper noise image, Gaussian noise images, image processing multiplicative noise, compare the difference between the two
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ML-KNN,这是来自传统的K-近邻(KNN)算法。详细地,为每一个看不见的实例中,首先确定了训练集中的k近邻。之后,基于从标签集获得的统计信息。这些相邻的实例,即属于每个可能类的相邻实例的数量,最大后验(MAP)原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究,即酵母基因功能分析、自然场景分类和网页自动分类,表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbo
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K Nearest Neighbor (KNN) Class...
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本实验的目的是学习Parzen窗估计和k最近邻估计方法。在之前的模式识别研究中,我们假设概率密度函数的参数形式已知,即判别函数J(.)的参数是已知的。本节使用非参数化的方法来处理任意形式的概率分布而不必事先考虑概率密度的参数形式。在模式识别中有躲在令人感兴趣的非参数化方法,Parzen窗估计和k最近邻估计就是两种经典的估计法。(The purpose of this experiment is to study the Parzen window estimation and the k nea
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采用最近邻法对图像进行插值,进行n倍的缩放,有示例图片,有注释,可运行,欢迎交流。(Using the nearest neighbor method for image interpolation, n times zoom, there are examples of pictures, notes, can run, welcome exchanges.)
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对人脸进行特征提取,并使用K近邻算法得其识别率(Feature extraction is performed on the face and its recognition rate is obtained using K nearest neighbor algorithm)
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shirinking and zooming the image
By the nearest neighbor method with Mattalb
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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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在MATLAB2014b版本,进行人脸识别,包含PCA降维、LDA线性判别、KNN最近邻算法等技术(In MATLAB2014b version, face recognition is carried out, including PCA dimension reduction, LDA linear discriminant analysis, KNN nearest neighbor algorithm and so on.)
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A CAPTCHA Breaker using k-Nearest Neighbor Classifiers, Support Vector Machines, and Neural Networks.
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使用四种方法进行鸢尾花分类:最小距离分类器,K 近邻法,感知器,Fisher 准则。(Four methods are used to classify iris: minimum distance classifier, K-nearest neighbor method, perceptron and Fisher criterion.)
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