TY - JOUR
T1 - The PCA-seq method applied to analyze of the dynamics of COVID-19 epidemic indicators
AU - Efimov, V. M.
AU - Polunin, D. A.
AU - Kovaleva, V. Y.
AU - Efimov, K. V.
N1 - Funding Information:
This work was supported by the Russian Foundation for Basic Research ?project no. 19 07 00658 a) and the Budget Project of the Institute of Cytology and Genetics, SB RAS ?project no. 0324 2019 0040 C 01).
Publisher Copyright:
© 2021 Institute of Physics Publishing. All rights reserved.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/1/4
Y1 - 2021/1/4
N2 - In time series analysis using the SSA method, a univariate series is converted into the multivariate one by shifts. The resulting trajectory matrix is subjected to principal component analysis (PCA). However, the principal components can also be computed using the PCA-Seq method if segments of the original series are selected as objects. The matrix of Euclidean distances between the objects can be obtained using any method, which offers additional opportunities for time series analysis compared to the conventional SSA. In this study, the PCA-Seq method was used to analyze the dynamics of COVID-19 epidemic indicators.
AB - In time series analysis using the SSA method, a univariate series is converted into the multivariate one by shifts. The resulting trajectory matrix is subjected to principal component analysis (PCA). However, the principal components can also be computed using the PCA-Seq method if segments of the original series are selected as objects. The matrix of Euclidean distances between the objects can be obtained using any method, which offers additional opportunities for time series analysis compared to the conventional SSA. In this study, the PCA-Seq method was used to analyze the dynamics of COVID-19 epidemic indicators.
UR - http://www.scopus.com/inward/record.url?scp=85100749912&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1715/1/012025
DO - 10.1088/1742-6596/1715/1/012025
M3 - Conference article
AN - SCOPUS:85100749912
VL - 1715
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012025
T2 - International Conference on Marchuk Scientific Readings 2020, MSR 2020
Y2 - 19 October 2020 through 23 October 2020
ER -