搜索资源列表
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 splin
mkriging
- matlab编写的克里金插值程序和最近邻值点和距离反比例插值程序-Kriging
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
pca
- 运用奇异值分解定理的PCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器,-The use of singular value decomposition theorem of PCA method in ORL face database for face recognition, nearest neighbor classifier for the classifier,
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.
2D-LDA
- 2维线性判别进行人脸识别的程序，很不错！采用ORL人脸库，取每人的1、3、5、7、9五幅图像作为训练图像，其余作为测试图像，进行二维线性判别。计算出特征向量矩阵，降序排列后，取前d（d=2,4,6，……，20）个特征向量组成的矩阵作为变换矩阵，对训练集合测试集进行特征重建，最后采用最近邻分类器。附有实验的结果。-code for face recognition based 2D-LDA，the performance is nice！
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
regnize
- 实现0-9个手写数字的识别 使用了多种方法：最近邻、势函数、神经网络、贝叶斯分类器-To achieve recognition handwritten digits 0-9 using a variety of methods: the nearest neighbor, potential function, neural networks, Bayesian classifier
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
KNN
- 最近邻分类java实现，还有测试用例，这是用eclipse开发的，也可以把源文件拷贝出来。-nearst neighbor java
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 coefficien
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 ch
KNN
- 使用matlab实现的KNN分类器，可以设置最近邻的个数-Implemented using the KNN classifier matlab, you can set the number of nearest neighbor