搜索资源列表
pcamat
- PCAmatlab程序算法，经过试验验证了，希望对大家有用-PCAmatlab program algorithm, after the pilot test in the hope that it may be useful to
pcamatlab
- 主成分分析法的matlab源程序，有用这种方法处理图像的不妨一试
PCAMatlab
- PCA进行人脸识别的Matlab代码，比较实用
PCAmatlab
- matlab ＰＣＡ源代码 有中文注释
pcamatlab
- 人脸识别的源程序，尝试一下如何上传，下次再传好的
pcamat
- PCAmatlab程序算法，经过试验验证了，希望对大家有用-PCAmatlab program algorithm, after the pilot test in the hope that it may be useful to
pcamatlab
- 主成分分析法的matlab源程序，有用这种方法处理图像的不妨一试-Principal Component Analysis of the matlab source code, useful this method may wish to deal with images of one test
PCAMatlab
- PCA进行人脸识别的Matlab代码，比较实用-PCA for Face Recognition Matlab code, more practical
PCAmatlab
- matlab ＰＣＡ源代码 有中文注释-source code matlab PCA has Chinese Notes
pcamatlab
- 人脸识别的源程序，尝试一下如何上传，下次再传好的-Face recognition source code, try how to upload, send the next best
PCAmatlab
- 基于PCA的人脸识别程序 很好用 可直接运行-PCA-based face recognition program can be directly used to run a good
pcamatlab
- 使用MATLAB实现主成分分析，可以去除数据间的共线性及对大量数据进行降维处理。-Using the matlab to realize the principal component analysis to remove the liner of the date and reduce the dimension of the large amont of the date.
PCAmatlab-
- PCA人脸识别 的源代码 在matlaB 里面实现的-PCA MatlAB FaceRec.m eigface Reconstruct.m calc xmean,sigma and its eigen decomposition
Pcamatlab-codeDTV
- this file includes PCA matlab code for DTV signal
PCAmatlab
- 主成分分析的基本原理 主成分分析的计算步骤 主成分分析方法应用实例 -Application examples of principal component analysis principal component analysis, principal component analysis of the basic principles of computational steps
pcaMethods_1.52.0
- 丢失数据的主成分分析，处理不完整数据的pca分解。pcaMatlab-Principal component analysis of missing data, incomplete data processing pca decomposition.pcaMatlab
PCAmatlab
- 利用PCA方法对数据集进行降维，能提高识别效率。-Use PCA method to reduce the dimensionality of the data set can improve the recognition efficiency.
PCAMATLAB
- PCA故障检测MATLAB 基于PCA的故障检测MATLAB程序，有完整数据获取程序-PCA PCA-based fault detection fault detection MATLAB MATLAB program, a complete data acquisition program
PCAMatlab
- PCA主元分析及实现方法(内含《精通MATLAB数字图像处理与识别》)-Analysis of PCA Principal Component and Its Implementation