Description: 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. Platform: |
Size: 3072 |
Author:赵俊义 |
Hits:
Description: 此程序为用于主成分分析的matlab程序，可以输出贡献率及画出二维散点图-this procedure for the Principal Component Analysis Matlab procedures can export contribution rate and the two-dimensional plot paint Platform: |
Size: 4096 |
Author:林子 |
Hits:
Description: 从物理意义的角度很好的解释了主成分分析法，是一篇很好的主成分分析入门文献。-Physical meaning from the perspective of a very good explanation of the principal component analysis method, is a good entry-principal component analysis literature. Platform: |
Size: 300032 |
Author:smallmule |
Hits:
Description: PCA and PLS aims:to get some
insight into the bilinear factor models Principal Component Analysis
(PCA) and Partial Least Squares (PLS) regression, focusing on the
mathematics and numerical aspects rather than how s and why s of
data analysis practice. For the latter part it is assumed (but not
absolutely necessary) that the reader is already familiar with these
methods. It also assumes you have had some preliminary experience
with linear/matrix algebra. Platform: |
Size: 270336 |
Author:郭大 |
Hits:
Description: Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal
％ component subspace U of dimension PPCA_DIM using a centred covariance
matrix X. The variable VAR contains the off-subspace variance (which
is assumed to be spherical), while the vector LAMBDA contains the
variances of each of the principal components. This is computed
using the eigenvalue and eigenvector decomposition of X.-Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA (X, PPCA_DIM) computes the principal component subspace U of dimension PPCA_DIM using a centred covariancematrix X. The variable VAR contains the off-subspace variance (whichis assumed to be spherical ), while the vector LAMBDA contains thevariances of each of the principal components. This is computedusing the eigenvalue and eigenvector decomposition of X. Platform: |
Size: 1024 |
Author:西晃云 |
Hits:
Description: PCA人脸识别
This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames-PCA Face Recognition This package implements basic Principal Component Analysis in Matlab andtests is with grayscale portion of the FERET database. Images are notpreprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames Platform: |
Size: 3072 |
Author:蔡加欣 |
Hits:
Description: PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames Platform: |
Size: 2048 |
Author:蔡加欣 |
Hits:
Description: PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames-PCA Face Recognition This package implements basic Principal Component Analysis in Matlab andtests is with grayscale portion of the FERET database. Images are notpreprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames Platform: |
Size: 1024 |
Author:蔡加欣 |
Hits:
Description: 这是一个主成分分析的matlab程序，非常有用。-This is a principal component analysis of matlab procedures, very useful. Platform: |
Size: 1024 |
Author:lpmsu |
Hits:
Description: 基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。-Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modeling and prediction. Platform: |
Size: 24576 |
Author:yinjj |
Hits:
Description: 核主成分分析中使用多项式核函数时的MATLAB代码，有注释，易看懂。-Kernel Principal Component Analysis in the use of polynomial kernel function of the MATLAB code, annotated, easy read. Platform: |
Size: 1024 |
Author:shane |
Hits:
Description: 主成分分析.mht：介绍主成分分析的文章
edgepick.m：本程序的目的是实现边缘检测
drawprim.m：找到最大主分量所在的位置，从而在原图象中绘出
practical.m：一个主分量的程序，边缘检测和主分量提取
prin.m：该程序是用princomp函数来提取矩阵的主成分-Principal component analysis. Mht: the article describes the principal component analysis edgepick.m: The purpose of this program is to achieve edge detection drawprim.m: to find the location of the maximum principal component, which in the original image in the draw practical.m: a principal components process, edge detection and principal component extraction prin.m: princomp function of the program is to extract the principal component matrix Platform: |
Size: 17408 |
Author:李仕诚 |
Hits:
Description: 主成分分析Matlab源码分析，程序简单易懂，使用方便-Principal component analysis Matlab source code analysis, the program is simple to understand, easy to use Platform: |
Size: 5120 |
Author:KARAS |
Hits:
Description: 利用Matlab编程实现主成分分析，
Cwstd.m——用总和标准化法标准化矩阵
Cwfac.m——计算相关系数矩阵；计算特征值和特征向量；对主成分进行排序；计算各特征值贡献率；挑选主成分（累计贡献率大于85 ），输出主成分个数；计算主成分载荷
Cwscore.m——计算各主成分得分、综合得分并排序
Cwprint.m——读入数据文件；调用以上三个函数并输出结果
-The use of principal component analysis Matlab programming, Cwstd.m standardization by the sum of the standardized method to calculate the correlation coefficient matrix Cwfac.m matrix computing eigenvalues and eigenvectors sort of the main components calculate the eigenvalues of the contribution rate selection Principal component (cumulative contribution rate is greater than 85 ), the number of output main component calculating the principal component load Cwscore.m calculate the principal component scores, total score and sort Cwprint.m reads data files calls for more than three function and outputs the result Platform: |
Size: 34816 |
Author:吴耕泓 |
Hits:
Search - principal component analysis matlab