搜索资源列表
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 .
ren-gong-zhi-neng
- 人工智能里面的几个c程序，蚁群算法、k近邻、hebb学习、hopfield网络、后向传播网络等。-Artificial intelligence inside the c program, ant colony algorithm and k nearest neighbor, hebb study, the Hopfield network, back propagation network.
Algorithm-for-knn-of
- 提出了一种改进的散乱数据点k近邻搜索算法-An improved algorithm for searching points’k nearest neighbor is presented
knn
- k近邻准则matlab实现，适合初学者。-K neighbor standards matlab, is suitable for beginners.
knn
- 模式识别 K近邻法实现，用c实现-K-nearest neighbor method, Pattern Recognition implementation
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
SVM-KM
- K-近邻支持向量机回归，工具箱，全程Matlab-K-Support Vector machine Matlab， This function process the SVM regression model using a linear epsilon insensitive cost
MLRE
- MLRE算法，选取最优K近邻，是识别率达到更高-MLRE algorithm select the best K-nearest neighbor, is to achieve a higher recognition rate
k-nn
- k最近邻 分类 机器学习 模式识别 人工智能 小程序-KNN classification machine learning Pattern recognition artificial intelligence Small program
KClassify
- 使用K近邻法设计分类器，对一组数据进行分类-K-nearest neighbor algorithm to design the classifier, to classify a set of data
knnclassification
- 这是一个KNN分类器的matlab函数（K近邻分类器）,可自由选择参数k-it s a KNN classifier program of the matlab ,you can chose the parameter k to conduct the classify procedure
4
- K近邻算法（KNN）的matlab源代码，程序清晰易读-K neighbor algorithm (KNN) of matlab source code, and the program is clear and easy to read
8
- K近邻算法（KNN）的matlab源代码，程序清晰易读-K neighbor algorithm (KNN) of matlab source code, and the program is clear and easy to read
knn
- K近邻分类器，用于模式识别等领域，该程序短小精悍，适合与ANN和SVM进行比较研究，本人多篇论文用到，效果较好。-K-nearest neighbor classifier is often used in pattern recognition and other fields. It is suitful for a comparative study with ANN and SVM. I have published some papers used the code. The effe
knn
- 这是一个小而有效的程序来执行的K -近邻搜索算法，此算法利用JIT 理论加速循环，比向量化有效解决了大量数据的精度问题。甚至比kd-tree效果要佳。 K-nearest neighbor search已经广泛应用在科学与工程上，比如模式识别，数据挖掘和信号处理。 -This is a small and effective procedures to implement the K- nearest neighbor search algorithm, this algorithm J
wavelet-transform-using-knn
- 基于双低频小波变换和k近邻分类器的人脸识别算法源程序-Dual low frequency wavelet transform and k-nearest neighbor classifier based face recognition algorithm source