搜索资源列表
EXO2ET3
- 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.
EmbeddingDimension_FNN
- 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
MatlabNNR
- matlab 下基于近邻函数值法则的聚类算法-Matlab-based neighbor function of the clustering algorithm rules
knn_map
- 用得最多的是最近邻，此处上传的是K-近邻，即k＝1。matlab环境下的代码。附有实例。-used most often is the nearest neighbor, here is uploaded K-neighbor, k = 1. Matlab environment code. With examples.
knn_demo
- K近邻法的matlab程序，发现大家都在找它！-K-nearest neighbor method of Matlab procedures, I found that we all have to find it!
NearestNeighbor
- 模式识别问题最近邻算法的matlab实现，简单易懂-nearest neighbor pattern recognition algorithm to achieve the Matlab and easily understood
PRAssign
- 脱机手写体识别Matlab源程序 包括特征提取、bayes分类器、K近邻分类及最近邻分类。 Testscr iptRecognition.m：测试代码 scr iptFeaExtract.m ：特征提取 KNearestEstimate.m ：K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m ：训练bayes分类器 Bayes.m ：测试bayes分类器 CrossValidate.m ：m交叉验证 -Offlin
events
- * acousticfeatures.m: Matlab scr ipt to generate training and testing files from event timeseries. * afm_mlpatterngen.m: Matlab scr ipt to extract feature information from acoustic event timeseries. * extractevents.m: Matlab scr ipt to extract ev
利用近邻法解决非线性分类问题
- 在matlab环境下，利用近邻法解决非线性分类问题,In the matlab environment, the use of neighbor method to solve nonlinear classification problems
DS_fusion
- DS证据理论matlab 实现的源程序，.m格式的源程序-Implementation of nearest-neighbor algorithm matlab source,. M format of the source
三步搜索法
- 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
mk115
- A noise auxiliary data analysis method, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.
bao_ht50
- Noisy pulse correlation detection signal, Classic GLCM texture calculation method, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
NearestNeighbor
- 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.)
FaceRec
- 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)
zoomshirink
- shirinking and zooming the image By the nearest neighbor method with Mattalb
k-nn
- 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
LDA人脸识别程序
- 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.)
decaptcha-master
- A CAPTCHA Breaker using k-Nearest Neighbor Classifiers, Support Vector Machines, and Neural Networks.
鸢尾花分类
- 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.)