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多维数据分析,有nPLS,PARAFAC,TURKER等-multidimensional data analysis, nPLS, B6, and other TURKER
Update : 2008-10-13 Size : 226.66kb Publisher : 王勇

The function conload takes a dataset and a model (PCA, PLS, PARAFAC etc.) and calculates congruence loadings which is the extension of correlation loadings to uncentered and multi-way models-The function takes a dataset and a m odel (PCA, PLS, B6 etc.) and calculates congruence loadi ngs which is the extension of correlation loadi ngs to uncentered and multi-way models
Update : 2008-10-13 Size : 3.91kb Publisher : tongtong

Tucker, PARAFAC, GRAM, RAFA and misc. 2nd order models with a test data set (old version now covered by the N-way Toolbox)-Tucker, B6, GRAM, RAFA and misc. 2nd order models with a test's data et (old version now covered by the N-way Toolbox )
Update : 2008-10-13 Size : 10.05kb Publisher : tongtong

多维数据分析,有nPLS,PARAFAC,TURKER等-multidimensional data analysis, nPLS, B6, and other TURKER
Update : 2025-02-19 Size : 226kb Publisher : 王勇

DL : 0
The function conload takes a dataset and a model (PCA, PLS, PARAFAC etc.) and calculates congruence loadings which is the extension of correlation loadings to uncentered and multi-way models-The function takes a dataset and a m odel (PCA, PLS, B6 etc.) and calculates congruence loadi ngs which is the extension of correlation loadi ngs to uncentered and multi-way models
Update : 2025-02-19 Size : 4kb Publisher : tongtong

Tucker, PARAFAC, GRAM, RAFA and misc. 2nd order models with a test data set (old version now covered by the N-way Toolbox)-Tucker, B6, GRAM, RAFA and misc. 2nd order models with a test's data et (old version now covered by the N-way Toolbox )
Update : 2025-02-19 Size : 10kb Publisher : tongtong

PARAFAC Based Blind Estimation Of Possibly Under-determined Convolutive MIMO Systems
Update : 2025-02-19 Size : 194kb Publisher : 陈特生

Jackknife PARAFAC, 用在多维线性分解.-Very famous Jackknife parafac, suited for multi-way data decomposition.
Update : 2025-02-19 Size : 351kb Publisher : 王浩

signal processing based on multilinear algebra,国外的学者的博士论文,主题关于信号处理最前沿的课题之一:平行因子分解(PARAFAC)。主要讨论了多重线性代数,包括高阶统计量分析,高阶奇异值分解,最优秩1分解,ICA与PARAFAC之间的关系等等。-signal processing based on multilinear algebra, foreign doctoral dissertations and scholars, the subject of signal processing on the forefront of one of the topics: the parallel factorization (PARAFAC). Focused on multi-linear algebra, including the analysis of higher-order statistics, higher-order singular value decomposition, optimal rank 1 decomposition, ICA and the relationship between PARAFAC and so on.
Update : 2025-02-19 Size : 1.42mb Publisher : 云上

平行因子分解最早和最重要的一篇博士论文:Multi-way Analysis in the Food Industry,Models, Algorithms, and Applications。作者为Rasmus Bro。共311页,内容包括3路因子分解和多路分解,有算法描述,是研究PARAFAC必看论文之一。-Parallel factorization of the earliest and most important for a Ph D thesis: Multi-way Analysis in the Food Industry, Models, Algorithms, and Applications. Written by Rasmus Bro. A total of 311,
Update : 2025-02-19 Size : 2.13mb Publisher : 云上

DL : 1
a sparse implementation of the Levenberg Marquadt algorithm for the PARAFAC model and a multi-way incomplete data generator for Matlab.
Update : 2025-02-19 Size : 11kb Publisher : ria

matlab parafac仿真 多维矩阵分解的算法-matlab parafac matrix decomposition algorithm for multi-dimensional simulation
Update : 2025-02-19 Size : 96kb Publisher : hh

再用平行因子分析三维荧光数据时,能够自动调整为最优的条件-automatically determine the appropriate PARAFAC model for EEM data
Update : 2025-02-19 Size : 18kb Publisher : 董文江

在PARAFAC,Tucker,n-pls 以及其它的多维数据进行拟合的工具箱-Procedures for fitting PARAFAC, Tucker, N-PLS and other N-way models.
Update : 2025-02-19 Size : 25kb Publisher : 董文江

平行因子分解三维数据,将自己所需要的数据提出出来-The parallel factorization 3D data data
Update : 2025-02-19 Size : 7kb Publisher : charles

DL : 0
自己编程的主成份分析的小例子,上传给大家分享一下,顺便想下载parafac程序-Small example of the principal component analysis of their programming, upload for everyone to share, and the way want to download parafac program
Update : 2025-02-19 Size : 3kb Publisher : zhangyi

DL : 11
DOMFluor工具箱,平行因子分解(PARAFAC)。-failed to translate
Update : 2025-02-19 Size : 6.39mb Publisher : tu

DL : 0
PARAFAC 用于多维数据分辨与校正-PARAFAC For multidimensional data resolution and correction
Update : 2025-02-19 Size : 6kb Publisher : 皮尔卡怂

This paper links the direct-sequence code-division multiple access (DS-CDMA) multiuser separation-equalization- detection problem to the parallel factor (PARAFAC) model, which is an analysis tool rooted in psychometrics and chemometrics.
Update : 2025-02-19 Size : 410kb Publisher : lizhinong

PARAFAC源程序,可以用于平行因子分析处理的算法,很全很好用(unction [A,B,C,LLF,I,J,K] = parafac(XPK,I,N,epsilon) % PARAFAC Parallel factor analysis for an three-way data array % The iterative process is continued until that m > 300 or ABS((LF(m)-LF(m-1)) % /LF(m-1)) is less than epsilon.Noted that m is the iterative number. % The epsilon may also be 10*MAX(SIZE(XPK))*NORM(XPK,1)*EPS. % % This can be overridden with [A,B,C] = PARAFAC(XPK,I,N,epsilon). % % [A,B,C,LLF] = PARAFAC(XPK,I,N,epsilon) also returns a vector LLF(=LOG(LF)) % where LF is a loss function vector obtained by calculating the square of % Frobenius matrix norm of (XPK-XPK*) at each iteration step.)
Update : 2025-02-19 Size : 125kb Publisher : 东东1234
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