Using MDS preference plot as visual analytics of data: A machine learning approach

The primary purpose of this paper is to advocate the use of multidimensional scaling (MDS) preference plot to study relationships among variables and individual differences in these variables. MDS preference plot is not a new visual technique; nevertheless, its application to visualize individual di...

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Veröffentlicht in:Methodological innovations Jg. 16; H. 1; S. 67 - 77
Hauptverfasser: Zhang, Yan, Ding, Cody
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London, England SAGE Publications 01.03.2023
Sage Publications Ltd
SAGE Publishing
Schlagworte:
Cognitive style
Data mining
Education
Individual differences
Information retrieval
Machine learning
Measures
Social sciences
Statistical methods
Variables
Variance analysis
Visualization
visual analytics
MDS preference plot
data mining
Machine learning
biplot
ISSN:2059-7991, 2059-7991
Online-Zugang:Volltext
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Zusammenfassung:The primary purpose of this paper is to advocate the use of multidimensional scaling (MDS) preference plot to study relationships among variables and individual differences in these variables. MDS preference plot is not a new visual technique; nevertheless, its application to visualize individual differences in variables for high-dimensional data is rare, particularly in education and social sciences. We illustrated its application using a real example in an educational setting. The results indicate that the MDS preference plot is a viable visualization technique for data mining and analytics. Traditional statistical methods, such as the analysis of variance, can be used to further support the visual analysis results.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2059-7991
2059-7991
DOI:10.1177/20597991221144574