搜索资源列表
mypca
- 主成分分析中特征根等输出,输入变量可选择最大迭代次数-principal component analysis, and other characteristics of the output - input variables can choose the largest number of iterations
mypca
- 读入一组bmp格式的图像,进行PCA,主成分分析,用于人脸识别系统等-Read a set of bmp format images, the principal component analysis
myPCA-Face-Recognition
- pca程序,PCA可以用于图像处理等方面-pca procedure
mypca
- principal component analysis (PCA ) is a well known approach for dimensionality reduction of the feature space. It has been successfully applied in face recognition. The main idea is to decompose face images into a small set of feature images called
myPCA
- 让初学者可以更加容易了解PCA算法的基本运行过程-For beginners can more easily understand the basic operation process of PCA algorithm
MyPca
- matlab 运用PCA算法对图像降维级图像重建代码-matlab image using PCA dimensionality reduction algorithm for image reconstruction code level
myPCA
- 在matlab上实现数据PCA处理,可以实现不同阶数的图像显示,-PCA processing data on matlab, can achieve image display different orders,
myPCA
- PCA主成分分析源程序,可以运行,简单易懂,MATLAB(PCA principal component analysis source program, can run, easy to understand, MATLAB)