搜索资源列表
Subpattern-based_principal___component_analysis.zi
- 子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the
nearest
- 模式识别分类方法中的最近邻准则方法。内有详细说明文档。-Pattern recognition classification criteria of the nearest neighbor method. There are detailed descr iption of the document.
PatternClassification
- source code for pattern classification k nearest neighbor source code
PSObasedcompanychooseaddress
- 基于商业网点选址的源程序.可以不用整个种群而只是用其中一部分最为粒子的邻居，那么在所有邻居中的极值就是局部极值。 在找到这两个最优值时, 粒子根据如下的公式来更新自己的速度和新的位置 -pso based company choose address ,it can be come true on the matlab plat roof.it maybe need some optimize if it would be applied on some other neighbor
EmbeddingDimension
- 假近邻法和Cao方法求混沌系统嵌入维的MATLAB源代码。可直接运行。-False neighbor method and Cao method of embedding dimension of chaotic systems demand MATLAB source code. Can be directly run.
K
- 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
NNearestneighe
- 模式识别问题最近邻算法的matlab实现，可以模拟实现现最近邻法的核心，是一个不错的代码，已通过测试。 -Pattern recognition problem neighbor algorithm matlab implementation can simulate the core of the nearest neighbor method is a good code has been tested.
Fyyalefacea
- 人脸识别matlab程序，yyale人脸库上实现，三阶近邻法 -Face recognition matlab program the yyale face database, the third-order nearest neighbor method
kNearestNeighbors
- K nearest neighbor search for matlab
prog.m
- k nearest neighbor algorithm for matlab
knn_K-nearest
- 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.
classifier
- 用matlab实现Part1. 实现一个k近邻分类器，Part 2.实现一个最小二乘分类器，Part 3.实现一个支持向量机分类器，Part 4.在不同数据集上使用交叉验证选择各个算法的参数-Part1. Achieve a k-nearest neighbor classifier, Part 2. Achieve a least-squares classifier, Part 3. Implement a support vector machine classifier, Part 4.
Nearest-neighbor-classifier
- 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
find_nn
- 这是一个利用K-means计算数据K最近邻点的MATLAB程序，简单方便。-This is a K-means computing program MATLAB data K nearest neighbor, simple and convenient.
static_K_kendell_mean_var
- MATLAB代码，利用K近邻法并使用相应的特征选择对数据进行分类-MATLAB code, the use of K-nearest neighbor method and use the appropriate feature selection data classification
static_K_ga01
- MATLAB代码，采用封装法利用K近邻和遗传算法的结合对数据进行分类-MATLAB code using encapsulation method using a K-nearest neighbor and genetic algorithm combined with data classification
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
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
decaptcha-master
- A CAPTCHA Breaker using k-Nearest Neighbor Classifiers, Support Vector Machines, and Neural Networks.