搜索资源列表
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-matlab-code
- 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, using Matlab achieve pca algorithm.
sift-algorithm-pcasift-asift-csift
- 一些有关SIFT衍生算法的资料，包括ASIFT, CSIFT, PCA-SIFT, SURF算法，中英文都有，很有价值-Some of the SIFT algorithm is derived, including ASIFT, CSIFT, PCA-SIFT, SURF algorithm, in each category, great value
PCA
- 完全用C++实现的PCA算法，可以用于实际工作和学习中-Entirely in C++ implementation of the PCA algorithm can be used for practical work and learning
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.
empca2.tar
- 模式分类中应用到的PCA算法，包括其奇异值分解SVD算法。可用来降维提取主元素等。-pattern classification applied to the PCA algorithm, including its SVD singular value decomposition algorithm. Can be used to take down the main Viti Levu and other elements.
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.
PCAalgorithm
- pca的matlab简单算法程序，没有什么特别的-PCA algorithm of matlab easy procedure, Nothing special
2D-PCA
- a simple 2D pca algorithm using Matlab to realize face recognition.
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. . .
ICA-(PCA)-algorithm
- 复数信号的fastICA算法.希望对大家有所帮助哦-plural signals fastICA algorithm. We hope to help oh
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.)
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
- 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.)
pca-人脸识别
- 运用PCA算法，可以通过摄像头实时获取人脸，进行人脸识别。(By using PCA algorithm, we can get face in real time by camera and face recognition.)
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.)