搜索资源列表
GHWPCA
- VC 6.0下的主成分分析代码,包括关系矩阵,协方差矩阵,以及因子分析的功能-VC 6.0 Principal Component Analysis code, including the relationship matrix, covariance matrix, and the function of factor analysis
PCA(matlab)
- 主成分分析算法(PCA),这是一个外国人编写的,很具有参考价值-principal component analysis algorithm (PCA), which was prepared by a foreigner, it is very valuable reference
现代统计学与SAS应用
- 本书共分6篇,第1篇统计学基础知识与SAS软件应用技巧,介绍了统计学的基本概念和学习方法、试验设计入门、统计描述、SAS软件应用入门、编写SAS实用程序的技巧、单变量统计分析和利用SAS/GRAPH模块绘制常用统计图的方法。第2篇试验设计与定量资料的统计分析,介绍了与t检验、非参数检验和各种方差分析有关的试验设计和数据处理方法。第3篇试验设计与定性资料的统计分析,介绍了处理二维及高维列联表资料的各种统计分析 方法,包括卡方检验、Fisher的精确检验、典型相关分析、logistic回归模型和对数
主成分分析matlab源码
- 主成分分析法的matlab程序附有详细解释
PCA
- 用来进行主成分分析,实现数据压缩功能,也可以做特征提取与分类-Be used for principal component analysis, data compression, you can also do feature extraction and classification
pca
- PCA主成分分析的标准MATLAB程序,可通用,非常有效-PCA principal component analysis of the standard MATLAB procedures, can be universal, very effective
ada04
- 详细介绍PCA(主成分分析),应用于人脸识别。PCA概念,发展,关键技术-Details on PCA (Principal Component Analysis), applied to face recognition. PCA concept, development, and key technologies
pca
- 主成分分析程序,可用于数据降维及特征提取。-Principal component analysis procedures, can be used for data dimensionality reduction and feature extraction.
itoolbox
- 包含间隔偏最小二乘,组合偏最小二乘,和间隔主成分分析-Contains the interval partial least squares, combination of partial least squares, and spacing of principal component analysis
Principal.Component.Analysis.PCA
- 26页PPT,详细介绍主成分分析(Principal Component Analysis,PCA)的概念-26 PPT, details of principal component analysis (Principal Component Analysis, PCA) concept of
Matlabzhuchengfen
- Matlab编程实现主成分分析,包含实例分析应用的详细代码-Matlab programming principal component analysis, including detailed examples of the application code
pca
- 用于主成分分析(pca)的程序(c++)-principal component analysis C++ program
PCA
- 主成分分析,因子分析,数理统计,英文课件-Principal Component Analysis PPT
PCA
- 主成分分析方法通过建立两个主成分的二位图,对数值特异点的剔除,减少数据处理中无关项的干扰,-Free Source Code for Image segmentation and Extraction malic: A Realtime Face Recognition System Source Code Face Detection C++ Library with Skin and Motion Analysis Face Recognition
Principal-contens-analysis(PCA)
- 用于主成分分析(PCA),包括,原变量相关系数矩阵的特征向量和特征值的求解,主成分的提取,载荷值的确定等-Used principal component analysis (PCA), including the original variable correlation matrix eigenvectors and eigenvalues of the solution, the main component of the extract, load value
factor-analysis-applied-Analysis
- 主成分分析法与因子分析法应用辨析,可以比较出二者的不同-Principal component analysis and factor analysis applied Analysis, a comparison between the two different
主成分分析
- 进行PCA计算,是mooc网站上吴恩达课程提供的材料,包含主成分分析和聚类分析两个(Conduct principal component analysis)
主成分分析
- 运用于主成分分析,可以运行,用于数学多元统计分析(principal component analysis)
PCA equation
- 主成分分析法求得主成分回归方程,从而达到降维目的。(Principal component analysis method for obtaining the regression equation of principal components)
