VisCoDeR: A tool for visually comparing dimensionality reduction algorithms

Rene Cutura, Stefan Holzer, Michael Aupetit, Michael Sedlmair

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We propose VisCoDeR, a tool that leverages comparative visualization to support learning and analyzing different dimensionality reduction (DR) methods. VisCoDeR fosters two modes. The Discover mode allows qualitatively comparing several DR results by juxtaposing and linking the resulting scatterplots. The Explore mode allows for analyzing hundreds of differently parameterized DR results in a quantitative way. We present use cases that show that our approach helps to understand similarities and differences between DR algorithms.

Original languageEnglish
Title of host publicationESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Publisheri6doc.com publication
Pages105-110
Number of pages6
ISBN (Electronic)9782875870476
Publication statusPublished - 1 Jan 2018
Event26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018 - Bruges, Belgium
Duration: 25 Apr 201827 Apr 2018

Publication series

NameESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Conference

Conference26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018
CountryBelgium
CityBruges
Period25/4/1827/4/18

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Cutura, R., Holzer, S., Aupetit, M., & Sedlmair, M. (2018). VisCoDeR: A tool for visually comparing dimensionality reduction algorithms. In ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (pp. 105-110). (ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning). i6doc.com publication.