搜索资源列表
APtutorial-for-PCA
- 线性主元分析教程，结构清晰，讲解易懂，容易上手的入门资料-a tutorial for PCA
PCA-face-recognition
- PCA人脸识别程序。运用主成分分析法对人脸进行识别是一种主要的方法。-PCA face recognition program. The use of principal component analysis of the human face recognition is a major way.
PCA
- Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components.
PCA
- PCA用于图像降维，主要利用KL变换，将图像映射到一个高维空间-PCA for image dimensionality reduction, the main advantage of KL transform, the image is mapped to a high-dimensional space
f
- 人脸识别PCA,一种不错的算法介绍，值得研究-Face recognition PCA, a good algorithm introduced, worth studying
pca
- 基于PCA的人脸识别matlab程序，识别率达到88 ，代码易于理解。-A matlab programe of face detection bases on PCA.The rate of it is 88 and the code is easy to understand.
PCA-and-MatlabCode
- 主成分分析法实现特征选择，里面有非常详细的算法介绍，还有一个现实实例介绍，非常具象，里面贴有实现算法的matlab代码-Principal component analysis （PCA）to achieve feature selection , which has a very detailed descr iption of algorithms , there is a real example to illustrate , very concrete , which is affix
PCA
- PCA，用于图像处理,一个很好的matlab代码-PCA,used for image ，a very good matlab words
pca
- 很好的PCA学习程序，每步都有注解，对学习PCA算法有很好的帮助-PCA learning process, each step has a comment，PCA learning process, each step has a comment, be very helpful for learning the PCA algorithm
PCA
- 主分量分析方法，用一组维数为数不多的特征尽可能精确地表示样本的特征，通常采用训练样本总体协方差矩阵的特征向量系作为展开基(即K-L坐标轴)-Principal component analysis, said the characteristics of the samples as accurately as possible using one of the few characteristics of a group of dimension, usually the overall tr
pca
- 一个修改后的PCA进行人脸识别的Matlab代码，识别率达到88％-A modified version of PCA for face recognition Matlab code, the recognition rate of 88
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- 一个简单的图像稀疏分解的例子，用了PSO—PCA分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using PSO-PCA decomposition and get a better reconstruction images
new-pca
- 这是个改进的PCA主元分析程序 可以实现数据降维和压缩-This is a PCA improved principal component analysis program can reduce the dimensionality of data compression
PCA-1-matlab
- Matlab实现主成分分析的一种方法，希望对初学者有帮助-Matlab as a principal component analysis method, for beginners
pca
- 以图形的形式显示PCA算法的过程，便于初学者理解。-The PCA algorithm is displayed in a graphical form, easy for beginners to understand.
PCA
- PCA是基于原始数据空间，通过构造一组新的潜隐变量来降低原始数据空间的维数。-PCA is based on the original data space, by constructing a new set of latent variables to reduce the dimension of the original data space.
PCA
- 主元分析中对主元的个数确定目前没有非常好的办法,这里提供一个比较方便实现的matlab程序,利用累计方差贡献率确定主元个数的matlab程序-Principal component analysis of main elements to determine there is no good way, here to provide a more convenient realization of the matlab program, using the cumulative variance
PCA
- 一个解释主成分分析PCA算法的文档,并附有简单的MATLAB程序说明-a document explain principle component analyse
PCA
- 主分量分析的源代码，附有简单的解释说明，主要对图像矩阵做降维处理，适用多幅图像的变化检测-Principal component analysis of the source code, a simple explanation, the main image matrix reducing dimension, suitable for image change detection
pca
- 这是一个pca提取特征的小程序，是应用matlab语言进行编写的，适用于初学者。-This is a small programs characteristics extracted pca this is a small characteristics extracted pca program, application of matlab language is written, it is suitable for beginners.