Visualizing the trustworthiness of a projection

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

5 Citations (Scopus)

Abstract

The visualization of continuous multi-dimensional data based on their projection in a 2-dimensional space is a way to detect visually interesting patterns, as far as the projection provides a faithful image of the original data. We propose to visualize directly in the projection space, how much the neighborhood has been preserved or not during the projection. We color the Vorono'i cells associated with the segments of the Delaunay graph of the projections, according to their stretching or compression. We experiment these techniques with the Principal Component Analysis and the Curvilinear Component Analysis applied to different databases.

Original languageEnglish
Title of host publicationESANN 2006 Proceedings - European Symposium on Artificial Neural Networks
Publisherd-side publication
Pages271-276
Number of pages6
ISBN (Electronic)2930307064, 9782930307060
Publication statusPublished - 1 Jan 2006
Event14th European Symposium on Artificial Neural Networks, ESANN 2006 - Bruges, Belgium
Duration: 26 Apr 200628 Apr 2006

Publication series

NameESANN 2006 Proceedings - European Symposium on Artificial Neural Networks

Conference

Conference14th European Symposium on Artificial Neural Networks, ESANN 2006
CountryBelgium
CityBruges
Period26/4/0628/4/06

ASJC Scopus subject areas

  • Information Systems
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'Visualizing the trustworthiness of a projection'. Together they form a unique fingerprint.

  • Cite this

    Aupetit, M. (2006). Visualizing the trustworthiness of a projection. In ESANN 2006 Proceedings - European Symposium on Artificial Neural Networks (pp. 271-276). (ESANN 2006 Proceedings - European Symposium on Artificial Neural Networks). d-side publication.