Multidimensional Matrix Approach in Parallel Factor Analysis

Vladimir S. Mukha

doi:10.1615/J Automat Inf Scien.v38.i10.30

Journal of Automation and Information Sciences

Главный редактор: Arkadiy A. Chikriy (open in a new tab)

Ассоциированный редакторs: Vyacheslav F. Gubarev (open in a new tab) Yuriy P. Kondratenko (open in a new tab) Nonna V. Turovyerova (open in a new tab)

Выходит 12 номеров в год

ISSN Печать: 1064-2315

ISSN Онлайн: 2163-9337

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Multidimensional Matrix Approach in Parallel Factor Analysis

Том 38, Выпуск 10, 2006, pp. 21-29

DOI: 10.1615/J Automat Inf Scien.v38.i10.30

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Vladimir S. Mukha
Byelorussian State University of Informatics and Radioelectronics, Minsk, Belorussia

Краткое описание

On the basis of multidimensional matrix approach we developed algorithm, which realizes alternating least square method for PARAFAC-model. Theorems about decomposition of three-linear and multi-linear PARAFAC-models were proved. Results of realization of the algorithm and conclusions concerning areas of application of PARAFAC-model and PARAFAC-algorithm are adduced.

ЦИТИРОВАНО В

D'amico Guglielmo, A Convergence Result in the Estimation of Markov Chains with Application to Compound Options, Journal of Statistical Theory and Practice, 2, 4, 2008. Crossref
D’Amico Guglielmo, Rate of Occurrence of Failures (ROCOF) of Higher-Order for Markov Processes: Analysis, Inference and Application to Financial Credit Ratings, Methodology and Computing in Applied Probability, 17, 4, 2015. Crossref

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