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Comparative Study of Complex Parallel Factor Analysis and Parallel Factor Analysis
2019 Prognostics and System Health Management Conference (PHM-Qingdao), 2019The running time and the convergence between traditional parallel factor trilinear alternating least squares algorithm (TALS) algorithm and complex parallel factor (COMFAC) algorithm is compared by the experiment. The experiment result shows that both methods can obtain good separation performance.
Huilu ZENG, Zhinong LI, Zewen ZHOU
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The Parallel Factor Analysis of Beer Fluorescence
Journal of Fluorescence, 2019Fluorescence excitation-emission matrices were measured for 111 samples of different types of beer and studied by the parallel factor analysis (PARAFAC). The 5-component PARAFAC model was found to suitably describes the beer fluorescence, accounting for 99.4% of the fluorescence variance in the measured set of samples, and providing the completely ...
Tatjana Dramićanin +3 more
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Parallel factor analysis of spider fluorophores
Journal of Photochemistry and Photobiology B: Biology, 2008Fluorophores from the hemolymph of yellow sac spiders (Cheiracanthium mildei) have been characterized using excitation emission matrix (EEM) fluorescence spectroscopy. This approach provides characterization of fluorophores present in the organism without having to isolate pure samples.
Scott M, Reed +2 more
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PARAFAC: Parallel factor analysis
Computational Statistics & Data Analysis, 1994We review the method of Parallel Factor Analysis, which simultaneously fits multiple two-way arrays or ‘slices’ of a three-way array in terms of a common set of factors with differing relative weights in each ‘slice’. Mathematically, it is a straightforward generalization of the bilinear model of factor (or component) analysis (xij = ΣRr = 1airbjr) to ...
Harshman, R. A., Lundy, M. E.
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Parallelism as a Factor in Metrical Analysis
Music Perception, 2002A model is proposed of the effect of parallelism on meter. It is wellknown that repeated patterns of pitch and rhythm can affect the perception of metrical structure. However, few attempts have been made either to define parallelism precisely or to characterize its effect on metrical analysis.
David Temperley, Christopher Bartlette
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A combination of parallel factor and independent component analysis
Signal Processing, 2012Although CPA (canonical/parallel factor analysis) has a unique solution, the actual computation can be made more robust by incorporating extra constraints. In several applications, the factors in one mode are known to be statistically independent. On the other hand, in Independent Component Analysis (ICA), it often makes sense to impose a Khatri-Rao ...
Maarten De Vos +3 more
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Parallel factor analysis in sensor array processing
IEEE Transactions on Signal Processing, 2000This paper links multiple invariance sensor array processing (MI-SAP) to parallel factor (PARAFAC) analysis, which is a tool rooted in psychometrics and chemometrics. PARAFAC is a common name for low-rank decomposition of three- and higher way arrays.
Nicholas D. Sidiropoulos +2 more
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On rotational ambiguity in parallel factor analysis
Chemometrics and Intelligent Laboratory Systems, 2010Abstract Although, in many cases parallel factor analysis (PARAFAC) resolves the trilinear data arrays to the true physical factors that form the data, i.e., unique solution can be found, the algorithm does not always converge to chemically meaningful solutions. Kiers and Smilde [J. Chemom.
H. Abdollahi, S.M. Sajjadi
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On uniqueness and selectivity in three-component parallel factor analysis
Analytica Chimica Acta, 2013Unambiguous recovery of profiles is a distinguishable advantage of Parallel Factor Analysis (PARAFAC) as a trilinear model and has made it a promising exploratory tool for data analysis. Linear dependency in profiles destroys trilinearity and will increase ambiguity in the curve resolution of three-way data sets. PARAFAC uniqueness deteriorates totally
Nematollah, Omidikia +2 more
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Parallel factor analysis of ovarian autofluorescence as a cancer diagnostic
Lasers in Surgery and Medicine, 2012AbstractBackground and ObjectivesEndogenous fluorescence from certain amino acids, structural proteins, and enzymatic co‐factors in tissue is altered by carcinogenesis. We evaluate the potential of these changes in fluorescence to predict a diagnosis of malignancy and to estimate the risk of developing ovarian cancer.Study Design/Materials and ...
Ronie, George +3 more
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