Straightforward Working Principles Behind Modern Data Visualization Approaches

From state-of-the-art visualization algorithms, we distill six working principles which are, by hypothesis, sufficient to produce visual projections qualitatively similar to those obtained with these state-of-the-art algorithms. These working principles are presented through the geometrical reasonin...

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Autores principales:	Jugurta Montalvao, Luiz Miranda, Bernadette Dorizzi
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Data visualization LargeVis multidimensional scaling t-SNE UMAP Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/68824290e21a4390aad300f80e630db7
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id	oai:doaj.org-article:68824290e21a4390aad300f80e630db7
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spelling	oai:doaj.org-article:68824290e21a4390aad300f80e630db72021-11-13T00:00:48ZStraightforward Working Principles Behind Modern Data Visualization Approaches2169-353610.1109/ACCESS.2020.3047910https://doaj.org/article/68824290e21a4390aad300f80e630db72021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9310265/https://doaj.org/toc/2169-3536From state-of-the-art visualization algorithms, we distill six working principles which are, by hypothesis, sufficient to produce visual projections qualitatively similar to those obtained with these state-of-the-art algorithms. These working principles are presented through the geometrical reasoning of the classical Multidimensional Scaling algorithm, and their effectiveness is illustrated through a novel straightforward algorithm for data visualization. We show, using several datasets originated from various applications, that our algorithm can produce visual projections qualitatively similar to those obtained with these state-of-the-art algorithms. Besides, under the same motivation (of simplification), the problem of visualizing large datasets is tackled through a companion algorithm which is able to embed new input patterns.Jugurta MontalvaoLuiz MirandaBernadette DorizziIEEEarticleData visualizationLargeVismultidimensional scalingt-SNEUMAPElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 4242-4252 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Data visualization LargeVis multidimensional scaling t-SNE UMAP Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Data visualization LargeVis multidimensional scaling t-SNE UMAP Electrical engineering. Electronics. Nuclear engineering TK1-9971 Jugurta Montalvao Luiz Miranda Bernadette Dorizzi Straightforward Working Principles Behind Modern Data Visualization Approaches
description	From state-of-the-art visualization algorithms, we distill six working principles which are, by hypothesis, sufficient to produce visual projections qualitatively similar to those obtained with these state-of-the-art algorithms. These working principles are presented through the geometrical reasoning of the classical Multidimensional Scaling algorithm, and their effectiveness is illustrated through a novel straightforward algorithm for data visualization. We show, using several datasets originated from various applications, that our algorithm can produce visual projections qualitatively similar to those obtained with these state-of-the-art algorithms. Besides, under the same motivation (of simplification), the problem of visualizing large datasets is tackled through a companion algorithm which is able to embed new input patterns.
format	article
author	Jugurta Montalvao Luiz Miranda Bernadette Dorizzi
author_facet	Jugurta Montalvao Luiz Miranda Bernadette Dorizzi
author_sort	Jugurta Montalvao
title	Straightforward Working Principles Behind Modern Data Visualization Approaches
title_short	Straightforward Working Principles Behind Modern Data Visualization Approaches
title_full	Straightforward Working Principles Behind Modern Data Visualization Approaches
title_fullStr	Straightforward Working Principles Behind Modern Data Visualization Approaches
title_full_unstemmed	Straightforward Working Principles Behind Modern Data Visualization Approaches
title_sort	straightforward working principles behind modern data visualization approaches
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/68824290e21a4390aad300f80e630db7
work_keys_str_mv	AT jugurtamontalvao straightforwardworkingprinciplesbehindmoderndatavisualizationapproaches AT luizmiranda straightforwardworkingprinciplesbehindmoderndatavisualizationapproaches AT bernadettedorizzi straightforwardworkingprinciplesbehindmoderndatavisualizationapproaches
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Straightforward Working Principles Behind Modern Data Visualization Approaches

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