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zhuchengfen
- 主成分分析方法在各个变量之间相关关系研究的基础上，用较少的新变量代替原来较多的变量，而且使这些较少的新变量尽可能多地保留原来较多的变量所反映的信息一种方法。-Principal Component Analysis in the relationship between the various variables on the basis of the study, with fewer new variables replace the original more variable, but
KPCA5
- 一个号的核主成分分析的人脸识别算法，整个程序非常的清楚明了！-A number of kernel principal component analysis for face recognition algorithms, the whole process is very easy to understand!
PCA-matlab
- 里面包含主元分析PCA的Matlab代码，包括提取主元，求方差贡献率，绘制贡献率直方图等-Which contains the principal component analysis PCA of the Matlab code, including the extraction of the main element, seeking variance contribution rate, contribution rate of histogram mapping, etc.
PCA
- PCA主元分析的matlab源代码，比较简单-PCA principal component analysis of the matlab source code is relatively simple
qyzngj
- 首先建立一个基于对话框的工程，导入数码位图资源，直接在对话框类CMy2Dlg中添加类mytime 程序中的mytime类主要提供两个函数接口：一个是set()用来设置显示位置；一个是myfun()用来设置显示数字来显示。-first establish a dialog-based project, import the bitmap of digital resources directly in the dialog box to add class CMy2Dlg class myti
pca_1
- 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.
face_recognition_pca
- This package contains the files that are gonna do some face recognition using principal component analysis. it use the at&t face database.
MPCASourceCode
- The matlab codes provided here implement two algorithms multilinear principal component analysis to run the face recognition using FERET database.
pca
- Matlab code for PCA principal component analysis
pcaalgorithm
- 主成分分析算法来分析图像处理对大家有点好处-Principal component analysis algorithm to analyze the benefits of image processing to everyone a little bit
pcasuite.tar
- pcaPCA 主成分分析的软件Principal component analysis
PCA
- 主成分分析代码，用matlab实现的，请大家参阅。-Principal component analysis code, matlab implementation, please refer to the.
PCA_GUI_code
- 主成分析matlab图形用户界面代码，包含测试文件。-principal component analysis matlab gui code. test file included.
ICA
- 本文首先概述了独立成分分析与盲信号分离， 主成分分析的关系， 然后系统地介绍了该技术的基本概念和数据模型， 对现今比较流行的各种独立成分分析算法进行了剖析和总结。最后对独立成分分析的发展及应用前景作了展望-In this paper, an overview of independent component analysis and blind signal separation, principal component analysis of the relationship, and the
xiaoyuan
- 高斯列主元消去法，可以用于就算规模较大的矩阵-Gaussian line principal component elimination method can be used to even larger matrix
GraphGA-DynamicGraphDrawingWithHybridizedGA
- Hierarchica graph drawing using genetic algorithms. We start with a hierarchical graph containing multiple layers and we create a group of chromozoms from the input layered graph. We have inter-layer and intra-layer crossing. We use the minimum edge
pca
- pca分类算法，3个参数，一个是样本数据x，另外一个是主成分累积贡献率的一个闸值，作为选定主成分个数的一个重要数据。-pca classification algorithm, three parameters, one is the sample data x, the other is the main component of the cumulative contribution rate of the value of a gate, as the number of selected
ImagePCA
- 该类计算图像的主分量,特征值,特征向量,并且使用主分量重构.-The main components of such calculation of the image, feature values, feature vectors, and the use of principal component reconstruction.
OFDM
- OFDM principal paper.basic-OFDM principal
pcainimage
- for components in principal component analysis