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一个 PCA 算法的matlab程序
- 主成分分析（PCA)算法是用于简化数据的一种技术,对于某些复杂数据就可应用主成分分析法对其进行简化。-principal component analysis (PCA) algorithm is used to simplify the technology of data, For some complex data can be applied Principal Component Analysis streamline its.
PCA
- PCA算法Matlab实例，有详细的中文注释
pca
- matlab principal component analysis, PCA算法.
PCAFisher.rar
- 使用PCA算法的故障诊断MATLAB仿真程序,PCA fault diagnosis procedure
Dimension-reduction--toolbox
- 该工具箱中包含了多种降维算法。其中有传统的PCA和Local PCA算法，也有典型的流形学习算法，如Isomap、LLE、HLLE、Laplacian Eigenmaps 和 Local Tangent Space 。-The toolbox contains a variety of dimensionality reduction algorithms. In which the traditional PCA and Local PCA algorithms, there are the
PCA-SIFT
- PCA-SIFT算法的实现，PCA-SIFT是对SIFT算法的改进，用PCA替代SIFT算法中的第四步，提高了效率，且准确率更高-PCA-SIFT algorithm implementation, PCA-SIFT SIFT algorithm is an improved SIFT algorithm with PCA instead of the fourth step, improve efficiency, and higher accuracy
PCA
- PCA人脸识别算法，识别率达到99 ，采用小波变换的方法及主成分分析法。-PCA face recognition algorithm, the recognition rate up to 99 , using wavelet transform methods and principal component analysis.
pca
- PCA主成份分析算法的MATLAB程序源码.测试是以费雷数据库的灰度等级部分.-PCA principal component analysis algorithm MATLAB program source code. Test is gray ferret grade part of the database.
PCA
- 用Matlab实现主成分分析（PCA)算法.-Principal component analysis using Matlab implementation (PCA) algorithm.
PCA
- pca主成分分析算法matlab源码，利用matlab实现pca算法。附带pca相关资料-pca principal component analysis algorithm matlab source code, the use of matlab to achieve pca algorithm. Pca with information ... ...
PCA
- PCA算法。PCA的目的是找到能够分离出最大方差的方向，所以首先求原来所有数据三个维度上的协方差，然后求这个协方差的特征值，最大特征值为第一个方向，从此以此类推。-PCA algorithm. The purpose of PCA is to find able to isolate the direction of maximum variance, so first find all the data in three dimensions on the original covarianc
pca
- 主成分分析pca算法matlab程序代码：pca标准化、协方差、特征根特征向量、方差贡献率-Principal component analysis pca algorithm matlab code: pca standardized covariance, eigenvalues eigenvectors, the variance contribution rate. . .
PCA人脸表情识别
- 基于PCA算法的人脸表情识别，由matlab实现该算法及其功能实现。
PCA
- PCA主成分分析算法matlab源码，利用matlab实现PCA算法。(PCA principal component analysis algorithm matlab source code, using MATLAB to achieve PCA algorithm.)
PCA
- PCA算法的matlab实现及算例，包含原始数据(matlab code of PCA in machine learning)
MNIST-PCA
- 使用PCA算法分析MNIST 手写字符训练样本。 结果分别生成以2、5、10个PCA主成分的重构图像以及10个主成分特征向量的对应图像。(Implement PCA algorithm on MNIST dataset and calculate the class PCA on each digit separately.)
PCA
- PCA 算法演示 主要用于数据进行降维处理(PCA suanfa zhuyaoyongyushujujinxingjiangweichuli)
PCA
- 以一个实际例程为例，实现了PCA算法的全过程。附带有数据集。方便读者调试。可以直接运行。(Taking an actual routine as an example, the whole process of PCA algorithm is realized. Comes with a data set. Convenient reader debugging. Can run directly.)
基于PCA算法的TE过程故障诊断程序
- 基于PCA的TE过程故障诊断MATLAB代码，亲测有效，欢迎下载。(PCA based TE process fault diagnosis MATLAB code, pro test is effective, welcome to download.)
PCA
- 不用自带函数，而是直接编程实现PCA算法。然后用PCA实现将数据从三维降到二维。(PCA algorithm is realized by direct programming instead of self-contained functions.Then PCA is used to reduce the data from three-dimensional to two-dimensional.)