搜索资源列表
get_NH
- 最近邻聚类算法，是经典的聚类算法，能够很好的实现，相信对大家有帮助-Nearest neighbor clustering algorithm
Classifier_K_NN_f
- 利用matlab，knn最近邻分类算法，可直接调用-Using matlab, knn nearest neighbor classification algorithm can be directly invoked
IR
- 一个简单的图像配准，利用了最近邻法进行仿真-image registration
ImprovedGaitRecognitionApproach
- ：步态识别通过人体走路的姿势来识别人的身份。近年来，步态作为一种生物特征识别技术备受计算机视觉研究者的关注。对某个 人的一个步态序列利用动态 Viterbi 算法得到一个样本姿态序列，对其多个步态样本姿态序列的对应姿态取平均得到这个人的特征姿态序 列，对特征姿态采用主成分分析法和线性判别分析法处理特征空间，并用最近邻法进行识别。利用 CASIA 数据库对本文方法进行验证， 取得了较高的识别率，并对体形变化具有较强的鲁棒性-Human gait recognition is the p
Strict_order_branches_and_comprehensive_algorithm_
- 严格有序分支的快速最近邻及其综合算法Strict order branches and comprehensive algorithm for fast nearest neighbor-Strict order branches and comprehensive algorithm for fast nearest neighbor Strict order branches and comprehensive algorithm for fast nearest neighbor
zuijinlin
- 是一种数据最近邻的c聚类程序，实现效果较好-Is a data of the c nearest neighbor clustering procedure, to achieve better results
pca
- PCA(Principal Component Analysis)预处理和最近邻分类程序-the code of Principal Component Analysis
kNN_pred
- 采用改进的K最近邻算法对混沌时间序列进行预测-The improved K-nearest neighbor algorithm to predict chaotic time series
compute_eig
- 利用主成份分析PCA和傅立叶变换训练图像并用最近邻法进行识别分类-Using principal component analysis PCA and Fourier transform training images and used to identify the nearest neighbor classification method
PictureParticipate
- 图像插值程序，载入图像后可以进行变形处理，提供的差值方式包括最近邻插值、三次样条插值等。-Image interpolation process can be deformed after loading the image processing methods include providing the difference between the nearest neighbor interpolation, cubic spline interpolation.
patternrecognitioncodes
- 此文件包含模式识别中一些经典的matlab代码，如：SVM、神经网络、最近邻等。-This file contains some of the classic pattern recognition matlab code, such as: SVM, neural networks, nearest neighbor and so on.
ll
- K最近邻(k-Nearest Neighbor，KNN)分类算法-K nearest neighbor (k-Nearest Neighbor, KNN) classification algorithm
kpca
- 运用KPCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器。-KPCA method using ORL face database for face recognition, classification for the nearest neighbor classifier.
svm1
- svm分类的面确定，使用了最近邻的算法，归类以后得到一个分界面-svm classification of the surface determined using the nearest neighbor algorithm, obtained after classification of a sub-interface
ClosestClassify
- 最近邻分类算法，完全用C++实现，可以用于实际工作和学习中-Nearest neighbor algorithm, complete with C++ implementation can be used for practical work and learning
rotate_registration2
- 用opencv实现的图像任意角度旋转插值，插值方法有最近邻法和双线性插值法-Opencv achieved by rotating the image at any angle interpolation, interpolation methods are nearest neighbor and bilinear interpolation
nn_rbf_learning
- 使用最近邻聚类在线自适应RBF网络学习算法-the learning of RBF net work using NN
nn_classifier
- 最近邻方法实现印刷体数字识别，及相关数据转换程序-Nearest neighbor method to achieve printed numeral recognition, and related data conversion process
palmprint-recognition-
- 首先计算掌纹图像二维Gabo r小波变 换系数的幅值, 将其作为掌纹图像的原始特征 其次, 利用 2DPCA 实现原始特征的降维 然后, 利用PCA 与FLD 的融合算 法进行二次降维的同时提取出最有利于分类的鉴别特征 最后, 利用最近邻算法进行掌纹的分类识别。 -First calculate the two-dimensional Gabo r palmprint image wavelet coefficients of magnitude, its character
Face-recognition
- 本文针对人脸图像的特点，选取一组Gabor 小波核，并用这组Gabor 小波核对人脸图像进行Gabor 小波变换，提取人脸 图像的有效信息。在此基础上，用2DPCA 对Gabor 小波提取的 数据矩阵进行降维，最后用最近邻法对人脸进行分类。-In this paper, the characteristics of face images, select a set of Gabor wavelet kernel, and check with this set of Gabor wav