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461518386Yale_PCASVM
- 程序包实现了几个常用的模式识别分类器算法，包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。-svm apply to fenlei
k_nn_classifier
- k最近邻分类器。编写的一个matlab函数。输入向量Z表示所属的类，返回一个向量，表示由k最近邻分类给定的。-k nearest neighbor classifier. Write a matlab function. Input vector Z that belongs to the class, returns a vector, expressed by the k nearest neighbor classification given.
kNNregression
- k近邻算法，实现机器学习中的回归功能，参数k需要自己选择-k nearest neighbor algorithm to achieve regression in the machine learning field
Ex1
- 模式识别某次课程的作业，完成了高斯分布下的两种贝叶斯分类器,以及非参数的K近邻、Parzen窗方法，采用UCI机器学习数据库中的某些数据作为样本，使用交叉验证方法确定参数-Pattern recognition of a particular course work, completed under the two Gaussian Bayesian classifier, and the non-parametric K-nearest neighbor, Parzen window meth
src.tar
- 期望最大化的算法代码，类似于k近邻，分为两个步骤：E步骤和M步骤。-Expectation maximization algorithm code, similar to the k nearest neighbor, is divided into two steps: E steps and M steps.
knn
- k近邻分类算法，VC++实现的，验证了正确性-k nearest neighbor classification algorithm, VC++ implementation to verify the correctness
knn
- 这个程序是用来寻找每个图像的K近邻的，然后得到了一个权值矩阵-This program is used to find K-nearest neighbor of each image, and then get a weight matrix
knnmatlab
- 不同的K近邻分类算法，基于matlab开发，不错。-matlab knn classification
kjl
- k近邻-k nearest neighbor
KNN
- 源码完成了对数据的K近邻分类，并且可以计算正确率-Source completed the K-nearest neighbor classifier on the data and can calculate the correct rate
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
knn
- K近邻算法在MATLAB中的通过编写代码来实现的样例-K nearest neighbor algorithm in MATLAB by writing code in the sample achieved
1673-3851(2011)03-0384-05
- k近邻算法和KALMAN滤波相结合的一个实例论文-k nearest neighbor algorithm and the KALMAN filter paper an example of combining
MATLAB
- 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
MARK_KNN
- k-nearest-neighbor K近邻算法的C++实现，训练后模型可以对测试数据进行归类。找了一些PUDN上的程序发现都没有很好的训练和测试数据集，所以自己写了一个直接放在main函数里面，不要从外部文件读取。工程运行于vc++ 6.0环境。Debug目下exe文件可以直接双击运行查看结果。-K nearest neighbor of C++ implementation, training model can be classified on the test data. Find so
Kmeans_classfication
- 一个用K近邻实现分类的算法，k最近邻算法是模式识别中的一种比较简单而经典的分类算法-Achieved with a K-nearest neighbor classification algorithms, k-nearest neighbor algorithm for pattern recognition is a relatively simple and classic classification algorithm
Tri-traing-by-myself
- 一个自己编写的Tri-training算法，利用支持向量机，K近邻，和朴素贝叶斯进行协同训练-A imagecut.rar Tri-training algorithm, using support vector machine, K neighbor, and simple bayesian for collaborative training
K-NN
- 最近邻求解函数极小值，简单方便，易于理解，方便解读。-better for reading，better for righting
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
knn_recognition
- knn（k-近邻）用于模式识别，实验所需数据已给出，适用于初学者加深对knn算法的理解。-The knn（(k-Nearest Neighbor）classification algorithm is used for pattern recognition, the experimental data required has been given to deepen the understanding of the knn algorithm for beginners .