Results 151 to 160 of about 1,503 (160)

A robust Parafac model for compositional data

Journal of Applied Statistics, 2017
ABSTRACTCompositional data are characterized by values containing relative information, and thus the ratios between the data values are of interest for the analysis. Due to specific features of compositional data, standard statistical methods should be applied to compositions expressed in a proper coordinate system with respect to an orthonormal basis.
M. A. Di Palma, P. Filzmoser, M. Gallo, K. Hron   +3 more
openaire   +2 more sources

Exposing Bot Activity with PARAFAC Tensor Decompositions

2020
Russian disinformation tactics via social media have been very topical in Western countries over the past year, and one of the specific tactics that has been spotlighted is the deceptive use of ‘bots’, or automated accounts, by Russia’s Internet Research Agency, particularly on Twitter.
openaire   +1 more source

Advances in PARAFAC Using Parallel Block Decomposition

2009
Parallel factor analysis (PARAFAC) is a multi-way decomposition method which allows to find hidden factors from the raw tensor data with many potential applications in neuroscience, bioinformatics, chemometrics etc [1,2]. The Alternating Least Squares (ALS) algorithm can explain the raw tensor by a small number of rank-one tensors with a high fitness ...
Anh Huy Phan, Andrzej Cichocki
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Construction and analysis of degenerate PARAFAC models

Journal of Chemometrics, 2000
A mathematical framework is presented for constructing degenerate CANDECOMP/PARAFAC models. It is possible to construct degenerate arrays which can be approximated by two-factor models to arbitrary precision but which do not possess an exact two-factor representation. Equivalence of different degenerate presentations is demonstrated.
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Combined PARAFAC-Subspace Approach to Blind Multiuser Equalization

Anais do XXII Simpósio Brasileiro de Telecomunicações, 2005
de Almeida, André, Favier, Gérard, Mota, João   +2 more
openaire   +2 more sources

Dimensionality Reduction Based on PARAFAC Model

Journal of Imaging Science and Technology, 2019
Ronghua Yan, Jinye Peng, Dongmei Ma
openaire   +1 more source

Interval Uncertainty Analysis Using CANDECOMP/PARAFAC Decomposition

A new interval uncertain analysis method is proposed based on CANDECOMP/PARAFAC (CP) decomposition. In interval uncertain analysis of structural dynamics, we need to evaluate the lower and upper bounds of uncertain responses. To avoid the overestimation of the lower and upper bounds caused by the wrapping effect, the CP decomposition is used to ...
Jinchun Lan, Zhike Peng
openaire   +1 more source

Clustered variables in PARAFAC

1993
Krijnen, Wilhelmus P., Kiers, Hendrik
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The constrained block-PARAFAC decomposition

2006
de Almeida, André, Favier, Gérard, Mota, João   +2 more
openaire   +1 more source

PARAFAC/CANDECOM analysis for Compositional data

2008
GALLO, Michele, LUCADAMO A.
openaire   +1 more source