Stress Maps: Analysing Local Phenomena in Dimensionality Reduction Based Visualizations

Christin Seifert, Vedran Sabol, Wolfgang Kienreich

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    Abstract

    Challenges in Visual Analytics frequently involve massive repositories, which do not only contain a large number of information artefacts, but also a high number of relevant dimensions per artefact. Dimensionality reduction algorithms are commonly used to transform high-dimensional data into low- dimensional representations which are suitable for visualisation purposes. For example, Information Landscapes visualise high-dimensional data in two dimensions using distance-preserving projection methods. The inaccuracies introduced by such methods are usually expressed through a global stress measure which does not provide insight into localised phenomena. In this paper, we propose the use of Stress Maps, a combination of heat maps and information landscapes, to support algorithm development and optimization based on local stress measures. We report on an application of Stress Maps to a scalable text projection algorithm and describe two categories of problems related to localised stress phenomena which we have identified using the proposed method.
    Original languageEnglish
    Title of host publicationEuroVAST 2010
    Subtitle of host publicationInternational Symposium on Visual Analytics Science and Technology
    EditorsJoern Kohlhammer, Daniel Keim
    PublisherEurographics Association
    ISBN (Print)978-3-905673-74-6
    DOIs
    Publication statusPublished - 2010
    EventInternational Symposium on Visual Analytics Science and Technology, EuroVAST 2010 - Bordeaux, France
    Duration: 8 Jun 20108 Jun 2010
    http://www.vismaster.eu/news/eurovast2010/

    Conference

    ConferenceInternational Symposium on Visual Analytics Science and Technology, EuroVAST 2010
    Abbreviated titleEuroVAST
    CountryFrance
    CityBordeaux
    Period8/06/108/06/10
    Internet address

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  • Cite this

    Seifert, C., Sabol, V., & Kienreich, W. (2010). Stress Maps: Analysing Local Phenomena in Dimensionality Reduction Based Visualizations. In J. Kohlhammer, & D. Keim (Eds.), EuroVAST 2010: International Symposium on Visual Analytics Science and Technology Eurographics Association. https://doi.org/10.2312/PE/EuroVAST/EuroVAST10/013-018