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【matlab】 Principal-component-analysis DL : 0: 用于主成分分析学习,非常强大，一学就会，分享了-for Principal component analysis
Update : 2024-05-06 Size : 9216 Publisher : wangj
【matlab】 Principal-component-analysis DL : 0: 主成份分析法在证券市场个股评价中的应用，可以用SPSS软件解决-Principal component analysis in the stock market evaluation of individual stocks, you can use SPSS software to solve
Update : 2024-05-06 Size : 221184 Publisher : 的
【CSharp】 Kernel-Principal DL : 0: 核主元分析法能充分利用核函数来解决非线性问题，具有很好的非线性逼近能力-Kernel principal component analysis can take advantage of the kernel function to solve nonlinear problems, with good nonlinear approximation ability
Update : 2024-05-06 Size : 5120 Publisher : 臧斌
【matlab】 Principal-component-analysis-and-GUI DL : 0: matlab 关于主成分分析的详细代码，附带数据及gui界面文件，可直接运行-matlab on principal component analysis of the detailed code , files with data and gui interface can be run directly
Update : 2024-05-06 Size : 43008 Publisher :
【matlab】 Principal-component-analysis DL : 0: 利用Matlab和SPSS实现主成分分析,主成分分析的好工具。-The use of Matlab and SPSS realize the principal component analysis, principal component analysis tool.
Update : 2024-05-06 Size : 103424 Publisher : h
【matlab】 matlab-principal-component-analysis DL : 0: 利用matlab进行主成分分析，有现成的代码和数据，主成分分析例子-Use of matlab for principal component analysis, have a ready-made code and data, principal component analysis example
Update : 2024-05-06 Size : 8192 Publisher : 苏夏
【matlab】 The-principal-component-analysis DL : 0: matlab 实现主成分分析内含详细代码 -The principal component analysis with detailed code
Update : 2024-05-06 Size : 8192 Publisher : 袁申申
【Other】 The-principal-component-analysis- DL : 0: 主成分分析进行风险管理，非常的实用，是现在比较的好的方法之一。-Principal component analysis, risk management, very practical, is now one of the more good method.
Update : 2024-05-06 Size : 193536 Publisher : 复古
【matlab】 Principal-component-analysis DL : 0: matlab 主成分分析，内含数据和程序源码。很好的数学建模资料-Principal component analysis
Update : 2024-05-06 Size : 8192 Publisher : 卢泽斌
【Program doc】 Principal-component-analysis DL : 0: 主成分分析法实现图像压缩,主要是应用主成分分析来进行图像信息的压缩处理和重构。- Principal component analysis (pca) to realize image compression, is mainly used principal component analysis for image compression processing, and refactoring.
Update : 2024-05-06 Size : 300032 Publisher : DQ
【matlab】 principal-component-analysis DL : 0: matlab主成分分析法代码，代入的值为相关系数。-principal component analysis matlab code, substituting the value of the correlation coefficient.
Update : 2024-05-06 Size : 11264 Publisher :
【AI-NN-PR】 Principal-component-analysis- DL : 0: 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
Update : 2024-05-06 Size : 5120 Publisher : KARAS
【MacOS develop】 principal-component-analysis DL : 0: 主成分分析的代码，数据处理的必备，方便实用-Principal component analysis of the code, the data processing required, convenient and practical! !
Update : 2024-05-06 Size : 8192 Publisher : 王臣
【matlab】 principal-component-anlisys DL : 0: in this mfile i have wrote the principal component anlisys algorithm.
Update : 2024-05-06 Size : 1024 Publisher : amin
【Software Engineering】 Principal-component-analysis-code DL : 0: 在高光谱图像处理和分析中,主成分分析方法是使用最广泛的线性降维方法之一,它概念简单,实现算法高效"在信号处理中,所谓的Karl血nen.b姆ve 变换实际上就是主成分分析 -In hyperspectral image processing and analysis, principal component analysis is the most widely used linear dimensionality reduction methods, it is conceptually simple and efficient algorithm " in signal processing, the so-called Karl blood nen.b Farm ve actually transform is the principal component analysis
Update : 2024-05-06 Size : 5120 Publisher : cuixiaochen
【matlab】 principal--stress DL : 0: 本程序可计算主应力大小和方向。主应力就是两个垂直方向的作用力的合力所产生的力在单位截面上的力。-This program can calculate principal stress size and direction. Two vertical principal stress is the force by the force of the force in the direction of force on cross section in the unit.
Update : 2024-05-06 Size : 1024 Publisher : dengp
【Software Engineering】 Principal-component-regression DL : 0: 主成分回归分析程序的研究,很具有参考价值，值得看看相信会有用-Research principal component regression analysis program, it is very valuable, it is worth a look I believe will be useful
Update : 2024-05-06 Size : 1282048 Publisher : 玎玎
【Software Engineering】 A-Survey-on-Principal-Aspects-of-Secure-Image-Tra DL : 0: A Survey on Principal Aspects of Secure Image Transmission
Update : 2024-05-06 Size : 77824 Publisher : hany
【matlab】 principal-oscillation-patterns_POP DL : 1: 本程序是非常容易理解执行的主振荡型分析的程序，是一种识别复杂气候系统时空变化特征的多变量分析新技术，不可多得呀！-This program is very easy to understand the main oscillatory performed (principal oscillation pattern) program, rare ah!
Update : 2024-05-06 Size : 12288 Publisher : 李达玲
【Industry research】 principal-component-analysis DL : 0: The key concept in principal component analysis (PCA) is to reduce a high dimensional data volume into a lower dimensional space, where the low dimensional data con-tams most of the useful information/variance contained in the original data set. The projection axes are re-ferred to as principal components. As such, PCA has been widely used in industrial process control as a stan-lord technique for data analysis and process abnormality identification一9,13,22一z3].In terms of fault detection, a set of PCA components should be determined for the healthy data set and then fault detection can be performed by checking whether or not the new incoming data lies in the space spanned by the healthy principal components. PCA divides the whole observable space into a principal compo-vent subspace and a residual subspace, and then performs the FDD using C}-test and Hoteling T2 test. In this context, the statistics (SPE) used for FDD is given by:-The key concept in principal component analysis (PCA) is to reduce a high dimensional data volume into a lower dimensional space, where the low dimensional data con-tams most of the useful information/variance contained in the original data set. The projection axes are re-ferred to as principal components. As such, PCA has been widely used in industrial process control as a stan-lord technique for data analysis and process abnormality identification一9,13,22一z3].In terms of fault detection, a set of PCA components should be determined for the healthy data set and then fault detection can be performed by checking whether or not the new incoming data lies in the space spanned by the healthy principal components. PCA divides the whole observable space into a principal compo-vent subspace and a residual subspace, and then performs the FDD using C}-test and Hoteling T2 test. In this context, the statistics (SPE) used for FDD is given by:
Update : 2024-05-06 Size : 3072 Publisher : haojie

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