lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Attribute-based Visual Explanation of Multidimensional Projections
University of Groningen, The Netherlands ; University of São Paulo, Brazil.
University of Groningen, The Netherlands.
University of São Paulo, Brazil.ORCID iD: 0000-0002-2901-935X
University of São Paulo, Brazil.
Show others and affiliations
2015 (English)In: EuroVis Workshop on Visual Analytics (2015) / [ed] E. Bertini, J. C. Roberts, Eurographics - European Association for Computer Graphics, 2015Conference paper, Published paper (Refereed)
Abstract [en]

Multidimensional projections (MPs) are key tools for the analysis of multidimensional data. MPs reduce data dimensionality while keeping the original distance structure in the low-dimensional output space, typically shown by a 2D scatterplot. While MP techniques grow more precise and scalable, they still do not show how the original dimensions (attributes) influence the projection's layout. In other words, MPs show which points are similar, but not why. We propose a visual approach to describe which dimensions contribute mostly to similarity relationships over the projection, thus explain the projection's layout. For this, we rank dimensions by increasing variance over each point-neighborhood, and propose a visual encoding to show the least-varying dimensions over each neighborhood. We demonstrate our technique with both synthetic and real-world datasets.

Place, publisher, year, edition, pages
Eurographics - European Association for Computer Graphics, 2015.
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-73245DOI: 10.2312/eurova.20151100OAI: oai:DiVA.org:lnu-73245DiVA, id: diva2:1199792
Conference
EuroVA 2015 - Sixth International Eurovis Workshop on Visual Analytics
Available from: 2018-04-22 Created: 2018-04-22 Last updated: 2018-04-26Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Martins, Rafael Messias

Search in DiVA

By author/editor
Martins, Rafael Messias
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf