SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance

D. Sacha, M. Kraus, J. Bernard, M. Behrisch, T. Schreck, Y. Asano, D. Keim

Research output: Contribution to journalArticleResearchpeer-review

LanguageEnglish
Pages120-130
JournalIEEE transactions on visualization and computer graphics
Volume24
Issue number1
DOIs
StatusPublished - 2018

Keywords

  • Data analysis
  • Data visualization
  • Density measurement
  • Feature extraction
  • Layout
  • Symmetric matrices
  • Visualization
  • Feature Detection/Selection
  • Matrix Visualization
  • Quality Metrics
  • Relational Data
  • Visual Quality Measures

Fields of Expertise

  • Information, Communication & Computing

Cite this

SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance. / Sacha, D.; Kraus, M.; Bernard, J.; Behrisch, M.; Schreck, T.; Asano, Y.; Keim, D.

In: IEEE transactions on visualization and computer graphics, Vol. 24, No. 1, 2018, p. 120-130.

Research output: Contribution to journalArticleResearchpeer-review

Sacha, D. ; Kraus, M. ; Bernard, J. ; Behrisch, M. ; Schreck, T. ; Asano, Y. ; Keim, D. / SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance. In: IEEE transactions on visualization and computer graphics. 2018 ; Vol. 24, No. 1. pp. 120-130.
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