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Description: 多维数据分析,有nPLS,PARAFAC,TURKER等-multidimensional data analysis, nPLS, B6, and other TURKER
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Size: 232102 |
Author: 王勇 |
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Description: 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
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Size: 4000 |
Author: tongtong |
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Description: 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 )
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Size: 10294 |
Author: tongtong |
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Description: 多维数据分析,有nPLS,PARAFAC,TURKER等-multidimensional data analysis, nPLS, B6, and other TURKER
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Size: 231424 |
Author: 王勇 |
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Description: 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
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Size: 4096 |
Author: tongtong |
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Description: 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 )
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Size: 10240 |
Author: tongtong |
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Description: PARAFAC Based Blind Estimation Of Possibly Under-determined Convolutive
MIMO Systems
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Size: 198656 |
Author: 陈特生 |
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Description: Jackknife PARAFAC, 用在多维线性分解.-Very famous Jackknife parafac, suited for multi-way data decomposition.
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Size: 359424 |
Author: 王浩 |
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Description: 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.
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Size: 1492992 |
Author: 云上 |
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Description: 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,
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Size: 2230272 |
Author: 云上 |
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Description: a sparse implementation of the Levenberg Marquadt algorithm for the PARAFAC model and a multi-way incomplete data generator for Matlab.
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Size: 11264 |
Author: ria |
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Description: matlab parafac仿真 多维矩阵分解的算法-matlab parafac matrix decomposition algorithm for multi-dimensional simulation
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Size: 98304 |
Author: hh |
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Description: 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
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Size: 18432 |
Author: 董文江 |
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Description: 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.
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Size: 25600 |
Author: 董文江 |
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Description: 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
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Size: 7168 |
Author: charles |
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Description: 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
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Size: 3072 |
Author: zhangyi |
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Description: DOMFluor工具箱,平行因子分解（PARAFAC）。-failed to translate
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Size: 6700032 |
Author: tu |
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Description: PARAFAC 用于多维数据分辨与校正-PARAFAC For multidimensional data resolution and correction
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Size: 6144 |
Author: 皮尔卡怂 |
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Description: 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.
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Size: 419840 |
Author: lizhinong |
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Description: 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.)
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Size: 128000 |
Author: 东东1234 |
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