搜索资源列表
初学者用到的最近邻算法
- 模式识别初学者最实用的最按住算法
SiftANN
- 实现了SIFT特征点的提取和匹配功能，匹配算法使用的是ANN最相似最近邻居法。-Achieved a SIFT feature point extraction and matching, matching algorithm using ANN is most similar to nearest neighbor method.
LDA2D-2
- 人脸识别中2DLDA算法的matlab程序，使用最近邻分类器进行识别。-Face Recognition 2DLDA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
PCA
- 人脸识别中PCA算法的matlab程序，使用最近邻分类器进行识别。-PCA Face Recognition Algorithm matlab procedures, the use of nearest neighbor classifier to identify.
nearest
- 模式识别问题最近邻算法的matlab实现，可以模拟实现最近邻法的核心，是一个不错的代码,nearest neighbor-Nearest-neighbor algorithm for pattern recognition problem of matlab implementation, can be simulated to achieve the core of the nearest neighbor method is a good code, nearest neighbor
nn1
- 最近邻算法结合卡尔曼滤波算法实现多目标跟踪-Nearest-neighbor algorithm for multi-target tracking
93317479KNN
- matlab 最近邻算法及文献，随时欢迎下载-matlab nearest-neighbor algorithm and literature, feel free to download
classification
- 灰度共生矩阵提取特征值，最近邻算法，进行纹理图像分类。creat_apprentissage用来训练样本，cooccurence是灰度共生矩阵提取特征值，knn是进行k最近邻算法，classif是纹理图像分类-coocurence matrix，using K nearest neighbor to classify textures images.
最近邻聚类算法
- 最近邻聚类算法,本程序利用图示来显示聚类之后的结果，效果直观-NearestNeighbor algorithm
Classifier_NN_f
- 最近邻分类器，matlab环境下，可直接调用-Nearest neighbor classifier, matlab environment, can be called directly
KNN3
- 最近邻分类器，自己输入数据，实现以最近邻为判据的分类-Nearest neighbor classifier, their input data in order to achieve the classification of the nearest neighbor as the criterion
NearestNeighbour3
- 最近邻插值,在图像处理中，对变换后的图像进行插值-Nearest Neighbour interpolating
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.
cv_pdaf
- CV模型，利用概率数据关联算法和最近邻算法对其进行跟踪滤波，保证正确-CV model, the probabilistic data association algorithm and the nearest neighbor filter algorithm to track and ensure the correct
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
K-mean
- 最近邻分类器是一个用来聚类的算法，可以用来对iris数据进行聚类-k-means is a neanest alogorim
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.)
tsp_nn
- 用最近邻算法实现TSP问题，用matlab编程(The implementation of TSP problem with the nearest neighbor algorithm)
非参数估计SO2浓度
- 用5种非参数方法：线性样条、B样条、N-W核估计、最近邻估计、局部多项式对某地SO2浓度数据进行拟合。(5 non parametric methods: linear spline, B spline, N-W kernel estimation, nearest neighbor estimation, and local polynomial are used to fit the SO2 concentration data in a certain area.)
NN
- 最近邻目标跟踪程序，可以运行，相关问题可咨询(Nearest neighbor target tracking program)