搜索资源列表
PCA
- pca matlab 处理源程序,经典的PCA 算法,是MATLAB处理图像的基础算法-pca matlab source treatment, classic PCA algorithm, are the basis of MATLAB algorithms deal with images! ! !
pca
- 运用pca算法降维,提取主要特征值,从而达到降维目的-Dimensionality reduction using pca algorithm, extract the main features of the value of
PCA
- PCA算法,用于用于主分量分析,挺好用的-PCA algorithm for principal component analysis used, very good use! ! ! ! ! ! ! ! !
pca
- PCA 算法 非常不错。 可以用于进行主分量分析-PCA good BSS algorithm
PCA
- 关于PCA算法的几份资料,很有参考价值的,其中一份是lecture,另外三份都是PCA方面的专著!-PCA algorithm on several data of great reference value, one of which is the lecture, another PCA in all three monographs!
PCA
- 用Matlab实现主成分分析(PCA)算法.-Principal component analysis using Matlab implementation (PCA) algorithm.
L-PCA-analysis
- 详细介绍了PCA算法的原理,以及它在人脸识别方面的应用!-PCA algorithm is described in detail the principle and its application in face recognition area!
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 dimens
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
- 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)
PCA
- PCA 算法演示 主要用于数据进行降维处理(PCA suanfa zhuyaoyongyushujujinxingjiangweichuli)
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算法实现
- 通过Python实现了PCA数据降维的方法(The method of reducing the dimension of PCA data through Python)
pca-master (1)
- 此源代码使用Eigen C ++库在C ++中实现了PCA算法。 运行代码所需的组件: - 安装Visual Studio 2012(Express Edition工作正常) - Windows操作系统(Windows 7或更高版本) 如何运行源代码: - 打开文件。\ pca \ PrincipalComponentAnalysis \ PrincipalComponentAnalysis \ Program.cpp
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.)
改过的pca在matlab中的实现
- 简单的pca算法在matlab中的实现。附带解释。(Implementation of a simple PCA algorithm in MATLAB.)
PCA
- 用matlab自带的PCA算法对图像进行降维(Dimensionality reduction for images)
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.)