Supplementary Material for paper "Straightforward Working Principles Behind Modern Data Visualization Approaches"

Citation Author(s):
Jugurta
Montalvão
Federal University of Sergipe (UFS)
Luiz
Miranda
Bernadette
Dorizzi
Submitted by:
Jugurta Montalvao
Last updated:
Tue, 05/17/2022 - 22:17
DOI:
10.21227/jw4g-je18
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Abstract 

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 image visualization. We show on 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 project/code new input patterns.
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