搜索资源列表
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.
PCA
- matlab实现PCA进行的人脸识别源程序，基本的功能实现，做为基础
pca
- matlab实现PCA进行的人脸识别源程序，基本的功能实现，做为基础
image_mva_0
- 一个利用Matlab实现PCA（主成分分析），k_means图像分割很好的例子。-using Matlab a PCA (Principal Component Analysis), k_means image segmentation good example.
PCA_algorithms
- 本程序实现pca理论的算法，并用自定义坐标加以显示，而且采用两种数据输入方式-the program pca theory of algorithms, and self-definition of coordinates, and using two data input methods
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.
PCA
- matlab实现PCA进行的人脸识别源程序，基本的功能实现，做为基础-matlab realize PCA for face recognition source code, the basic function of the realization, as a basis for
pca
- matlab实现PCA进行的人脸识别源程序，基本的功能实现，做为基础-matlab realize PCA for face recognition source code, the basic function of the realization, as a basis for
pca
- matlab实现pca算法，基于orl人脸数据库，有很高的识别率-matlab achieve the PCA algorithm, based on the ORL face database, a high recognition rate
pca
- 用matlab中的基本数学包实现-PCA，有助于理解PCA原理。 -Using matlab in the realization of the basic mathematical package-PCA, help to understand the principles of PCA.
PCAcode
- 实现pca功能的完整matlab程序，很好用,源代码-Pca functional integrity of the implementation of the matlab program, very good, and the source code
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
- matlab实现pCA遥感图像融合，包含了pca源文件-Remote sensing image fusion matlab realize pCA
pca
- 实现pca功能，进行数据降维，使算法简单化-Realize pca functions, to data dimension reduction, the method is simple
PCA-SIFT
- PCA-SIFT在Unix/Linux下的实现-PCA-SIFT in the Unix/Linux implementation under
PCA两种算法matlab+C++
- C++和matlab的两种算法实现PCA的源程序。(Two algorithms to achieve PCA source.)
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
- Python实现PCA将数据转化成前K个主成分的伪码大致如下: ''' 减去平均数计算协方差矩阵计算协方差矩阵的特征值和特征向量将特征值从大到小排序保留最大的K个特征(Python PCA data into pseudo code before the K principal components are as follows: the characteristics of 'average minus the covariance
Robust PCA
- 用于拉格朗日函数分解运算的PCA算法，MATLAB程序实现(PCA algorithm for decomposition operation of Lagrange function)
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.)