Multidimensional Data Visualization Based on the Shortest Unclosed Path Search

Publication type: Book Chapter
Publication date: 2022-05-18
Springer Nature
scimago Q4
SJR: 0.123
CiteScore: 1.2
Impact factor: —
ISSN: 23674512, 23674520
Abstract
The paper considers methods of multidimensional data visualization based on the search for the shortest unclosed path between the objects of the study sample and its mapping to a two-dimensional plane as an unclosed graph (chain), a columnar chart of the objects distribution along the found path or projection onto the path. The shortest unclosed path computing is executed with distance matrix between objects, which allows to use the method for both multidimensional data and data represented only by paired comparisons of objects functions. In this work an algorithm for greedy search of a quasi-shortest unclosed path is implements and also its modifications are proposed. The algorithms are tested on model and real-world data and also data obtained during the study of the problem of detecting falls using Microsoft Kinect V2.
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Institute of Electrical and Electronics Engineers (IEEE), 1, 100%
Institute of Electrical and Electronics Engineers (IEEE)
1 publication, 100%
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Seredin O. et al. Multidimensional Data Visualization Based on the Shortest Unclosed Path Search // Artificial Intelligence in Data and Big Data Processing. 2022. pp. 279-299.
GOST all authors (up to 50) Copy
Seredin O., Surkov E., Kopylov A., Dvoenko S. D. Multidimensional Data Visualization Based on the Shortest Unclosed Path Search // Artificial Intelligence in Data and Big Data Processing. 2022. pp. 279-299.
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RIS Copy
TY - GENERIC
DO - 10.1007/978-3-030-97610-1_23
UR - https://doi.org/10.1007/978-3-030-97610-1_23
TI - Multidimensional Data Visualization Based on the Shortest Unclosed Path Search
T2 - Artificial Intelligence in Data and Big Data Processing
AU - Seredin, O.
AU - Surkov, Egor
AU - Kopylov, Andrey
AU - Dvoenko, S. D.
PY - 2022
DA - 2022/05/18
PB - Springer Nature
SP - 279-299
SN - 2367-4512
SN - 2367-4520
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@incollection{2022_Seredin,
author = {O. Seredin and Egor Surkov and Andrey Kopylov and S. D. Dvoenko},
title = {Multidimensional Data Visualization Based on the Shortest Unclosed Path Search},
publisher = {Springer Nature},
year = {2022},
pages = {279--299},
month = {may}
}