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test2
- K近邻分类法的实现代码,是一个基于win32的非界面程序-code about k-nearest neighbor
zuijinlinfenlei
- 我们使用MATLAB软件实现了人脸识别并统计其识别率。本实验采用PCA（主成分分析）方法，利用K-L变换和奇异值分解原理实现。并分别采用最近邻法分类器得出它们的成功率。-We use face recognition software and the MATLAB Statistics recognition rate. The present study, PCA (principal component analysis) method, using KL transform and sin
untitled
- 利用opencv实现机器学习，K近邻分类器的小例子-Achieved using machine learning opencv, K small example of neighbor classifier
K
- 近邻法的基本思想是在测试样本x的k个近邻中，按出现的样本类别来作为x的类别，即先对x的k个近邻一一找出它们的类别，然后对x类别进行判别，即在N个训练样本中，找出x的k个近邻。-The basic idea of the nearest neighbor method in the test sample x k nearest neighbors, according to the type of the sample of x as a category, that is, first k n
classification
- 一些典型的模式分类及聚类方法 包括k均值 FDA PCA LMS 贝叶斯 K近邻-The typical pattern classification and clustering methods including k-means FDA PCA LMS Bayesian K-nearest neighbor
floaterK1
- 这是用MTTLAB编程，采用K近邻法对提取的水面漂浮物特征进行分类-This is programming MTTLAB, K-nearest neighbor method floats feature to classify the extracted water
KNNC
- 使用K近邻算法分类的代码，可返回分类的识别率-KNN Classification
knn
- knn k近邻算法，可选择欧式距离或者曼哈顿距离-knn k nearest neighbor, Euclidean distance or Manhattan can choose the distance
Kjinlin
- K近邻c语言程序的简单应用 简单应用 -K-nearest neighbor c language program a simple application of a simple application of a simple application of a simple application
KNN
- 机器学习K近邻分类算法，使用的是C++编程。如果一个样本在特征空间中的k个最相似(即特征空间中最邻近)的样本中的大多数属于某一个类别，则该样本也属于这个类别。-K-nearest neighbor classification machine learning algorithm, using the C++ programming. If a sample in feature space is k most similar (i.e., the feature space adjacent
k_nearst
- k最近邻分类算法，将点云分为k近邻的算法，完整的源码程序-the program is about the k_nearst classify
2DPCAPKNN
- 实现2DPCA和Knn（k近邻）的人脸识别，包含人脸库-face recogntion in 2DPCA and KNN
knn
- k近邻法的线性扫描算法的python详细代码，并附有详细注释-k nearest neighbor linear scanning algorithm python code in detail, along with detailed notes
knnfiltertest
- 用于图像处理的K近邻滤波器 可用于去除高斯滤噪声和椒盐噪声 并进行对比-K nearest neighbor filter to remove image noise
jinlin
- 最近邻法，K-近邻法，剪辑近邻法和压缩近邻法。模式识别-Nearest neighbor, K- nearest neighbor, editing and compression nearest neighbor nearest neighbor method. Pattern Recognition
classification
- Iris数据的最近邻分类与k近邻分类程序，以及5路交叉验证，适合于新手学习，附有数据集-And nearest neighbor classification k-nearest neighbor classification procedure Iris data, as well as 5-way cross-validation, suitable for novices to learn, with data collection
KNN
- KNN K近邻算法 来自视觉机器学习中的代码-The KNN K Nearest Neighbor algorithm comes the code in the visual machine learning
Character_Recognition
- 本程序主要参照论文，《基于OpenCV的脱机手写字符识别技术》实现了，对于手写阿拉伯数字的识别工作。识别工作分为三大步骤：预处理，特征提取，分类识别。预处理过程主要找到图像的ROI部分子图像并进行大小的归一化处理，特征提取将图像转化为特征向量，分类识别采用k-近邻分类方法进行分类处理，最后根据分类结果完成识别工作。 程序采用Microsoft Visual Studio 2010与OpenCV2.4.4在Windows 7-64位旗舰版系统下开发完成。并在Windows xp-32位系统下测试
手写体字符识别
- 简单的手写体字符识别，利用了k近邻和支持向量机算法(Simple handwritten character recognition, using the k nearest neighbor and support vector machine algorithm)
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)