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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Contrastive analysis for scatterplot-based representations of dimensionality reduction

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Author(s):
Marcilio-Jr, Wilson E. ; Eler, Danilo M. [1] ; Garcia, Rogerio E. [1]
Total Authors: 3
Affiliation:
[1] Marcilio-Jr, Jr., Wilson E., Sao Paulo State Univ UNESP, Fac Sci & Technol, BR-19060900 Presidente Prudente, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: COMPUTERS & GRAPHICS-UK; v. 101, p. 46-58, DEC 2021.
Web of Science Citations: 1
Abstract

Cluster interpretation after dimensionality reduction (DR) is a ubiquitous part of exploring multidimensional datasets. DR results are frequently represented by scatterplots, where spatial proximity encodes similarity among data samples. In the literature, techniques support the understanding of scatterplots' organization by visualizing the importance of the features for cluster definition with layout enrichment strategies. However, current approaches usually focus on global information, hampering the analysis whenever the focus is to understand the differences among clusters. Thus, this paper introduces a methodology to visually explore DR results and interpret clusters' formation based on contrastive analysis. We also introduce a bipartite graph to visually interpret and explore the relationship between the statistical variables employed to understand how the data features influence cluster formation. Our approach is demonstrated through case studies, in which we explore two document collections related to news articles and tweets about COVID-19 symptoms. Finally, we evaluate our approach through quantitative results to demonstrate its robustness to support multidimensional analysis. (c) 2021 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 18/25755-8 - Multilevel visual representation to assist the exploration of data sets
Grantee:Wilson Estécio Marcílio Júnior
Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
FAPESP's process: 18/17881-3 - Multilevel visual representation to assist the exploration of data sets
Grantee:Danilo Medeiros Eler
Support Opportunities: Regular Research Grants