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The LMPCA program: a graphical user interface for fitting the linked-mode PARAFAC-PCA model to coupled real-valued data

机译:LMPCA程序:图形用户界面,用于将链接模式PARAFAC-PCA模型拟合到耦合的实值数据

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摘要

In behavioral research, PARAFAC analysis, a three-mode generalization of standard principal component analysis (PCA), is often used to disclose the structure of three-way three-mode data. To get insight into the underlying mechanisms, one often wants to relate the component matrices resulting from such a PARAFAC analysis to external (two-way two-mode) information, regarding one of the modes of the three-way data. To this end, linked-mode PARAFAC-PCA analysis can be used, in which the three-way and the two-way data set, which have one mode in common, are simultaneously analyzed. More specifically, a PARAFAC and a PCA model are fitted to the three-way and the two-way data, respectively, restricting the component matrix for the common mode to be equal in both models. Until now, however, no software program has been publicly available to perform such an analysis. Therefore, in this article, the LMPCA program, a free and easy-to-use MATLAB graphical user interface, is presented to perform a linked-mode PARAFAC-PCA analysis. The LMPCA software can be obtained from the authors at http://ppw.kuleuven.be/okp/software/LMPCA. For users who do not have access to MATLAB, a stand-alone version is provided.
机译:在行为研究中,经常使用PARAFAC分析(标准主成分分析(PCA)的三模式概括)来公开三向三模式数据的结构。为了深入了解潜在的机制,人们经常想将这样的PARAFAC分析产生的成分矩阵与关于三向数据模式之一的外部(两向两模式)信息相关联。为此,可以使用链接模式的PARAFAC-PCA分析,其中可以同时分析共有一种模式的三向和两向数据集。更具体地说,将PARAFAC模型和PCA模型分别拟合到三向和双向数据,从而将两种模式中共模的分量矩阵限制为相等。但是,到目前为止,还没有公开的软件程序可以执行这种分析。因此,在本文中,将介绍LMPCA程序(一个免费且易于使用的MATLAB图形用户界面),以执行链接模式PARAFAC-PCA分析。 LMPCA软件可以从http://ppw.kuleuven.be/okp/software/LMPCA的作者处获得。对于无法访问MATLAB的用户,提供了一个独立版本。

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