Quality Metrics Driven Approach to Visualize Multidimensional Data in Scatterplot Matrix

Michael Behrisch, Lin Shao, Juri Buchmüller, Tobias Schreck

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

Extracting meaningful information out of vast amounts of high-dimensional data is challenging. Prior research studies have been trying to solve these problems through either automatic data analysis or interactive visualization
approaches. Our grand goal is to derive representative and generalizable quality metrics and to apply these to amplify interesting patterns as well as to mute the uninteresting noise for multidimensional visualizations. In this
poster, we investigate a quality metrics-driven approach to achieve our goal for scatterplot matrices (SPLOMs). We rearrange SPLOMs by sorting scatterplots based on their locally significant visual motifs. Using our approach, we
enable scatterplot matrices to reveal groups of visual patterns appearing adjacent to each other, helping analysts to gain a clear overview and to delve into specific areas of interest more easily.
Original languageEnglish
Title of host publicationEurographics Conference on Visualization (EuroVis)
PublisherEurographics - European Association for Computer Graphics
Pages1
Number of pages3
Volume2015
Publication statusPublished - 2016

Keywords

    Fields of Expertise

    • Information, Communication & Computing

    Cite this

    Behrisch, M., Shao, L., Buchmüller, J., & Schreck, T. (2016). Quality Metrics Driven Approach to Visualize Multidimensional Data in Scatterplot Matrix. In Eurographics Conference on Visualization (EuroVis) (Vol. 2015, pp. 1). Eurographics - European Association for Computer Graphics.

    Quality Metrics Driven Approach to Visualize Multidimensional Data in Scatterplot Matrix. / Behrisch, Michael; Shao, Lin; Buchmüller, Juri; Schreck, Tobias.

    Eurographics Conference on Visualization (EuroVis). Vol. 2015 Eurographics - European Association for Computer Graphics, 2016. p. 1.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

    Behrisch, M, Shao, L, Buchmüller, J & Schreck, T 2016, Quality Metrics Driven Approach to Visualize Multidimensional Data in Scatterplot Matrix. in Eurographics Conference on Visualization (EuroVis). vol. 2015, Eurographics - European Association for Computer Graphics, pp. 1.
    Behrisch M, Shao L, Buchmüller J, Schreck T. Quality Metrics Driven Approach to Visualize Multidimensional Data in Scatterplot Matrix. In Eurographics Conference on Visualization (EuroVis). Vol. 2015. Eurographics - European Association for Computer Graphics. 2016. p. 1
    Behrisch, Michael ; Shao, Lin ; Buchmüller, Juri ; Schreck, Tobias. / Quality Metrics Driven Approach to Visualize Multidimensional Data in Scatterplot Matrix. Eurographics Conference on Visualization (EuroVis). Vol. 2015 Eurographics - European Association for Computer Graphics, 2016. pp. 1
    @inproceedings{4ffc025a048749ab91ab284f7b9a4237,
    title = "Quality Metrics Driven Approach to Visualize Multidimensional Data in Scatterplot Matrix",
    abstract = "Extracting meaningful information out of vast amounts of high-dimensional data is challenging. Prior research studies have been trying to solve these problems through either automatic data analysis or interactive visualizationapproaches. Our grand goal is to derive representative and generalizable quality metrics and to apply these to amplify interesting patterns as well as to mute the uninteresting noise for multidimensional visualizations. In thisposter, we investigate a quality metrics-driven approach to achieve our goal for scatterplot matrices (SPLOMs). We rearrange SPLOMs by sorting scatterplots based on their locally significant visual motifs. Using our approach, weenable scatterplot matrices to reveal groups of visual patterns appearing adjacent to each other, helping analysts to gain a clear overview and to delve into specific areas of interest more easily.",
    keywords = "Information System, Information Interface and Presentation",
    author = "Michael Behrisch and Lin Shao and Juri Buchm{\"u}ller and Tobias Schreck",
    year = "2016",
    language = "English",
    volume = "2015",
    pages = "1",
    booktitle = "Eurographics Conference on Visualization (EuroVis)",
    publisher = "Eurographics - European Association for Computer Graphics",
    address = "Switzerland",

    }

    TY - GEN

    T1 - Quality Metrics Driven Approach to Visualize Multidimensional Data in Scatterplot Matrix

    AU - Behrisch, Michael

    AU - Shao, Lin

    AU - Buchmüller, Juri

    AU - Schreck, Tobias

    PY - 2016

    Y1 - 2016

    N2 - Extracting meaningful information out of vast amounts of high-dimensional data is challenging. Prior research studies have been trying to solve these problems through either automatic data analysis or interactive visualizationapproaches. Our grand goal is to derive representative and generalizable quality metrics and to apply these to amplify interesting patterns as well as to mute the uninteresting noise for multidimensional visualizations. In thisposter, we investigate a quality metrics-driven approach to achieve our goal for scatterplot matrices (SPLOMs). We rearrange SPLOMs by sorting scatterplots based on their locally significant visual motifs. Using our approach, weenable scatterplot matrices to reveal groups of visual patterns appearing adjacent to each other, helping analysts to gain a clear overview and to delve into specific areas of interest more easily.

    AB - Extracting meaningful information out of vast amounts of high-dimensional data is challenging. Prior research studies have been trying to solve these problems through either automatic data analysis or interactive visualizationapproaches. Our grand goal is to derive representative and generalizable quality metrics and to apply these to amplify interesting patterns as well as to mute the uninteresting noise for multidimensional visualizations. In thisposter, we investigate a quality metrics-driven approach to achieve our goal for scatterplot matrices (SPLOMs). We rearrange SPLOMs by sorting scatterplots based on their locally significant visual motifs. Using our approach, weenable scatterplot matrices to reveal groups of visual patterns appearing adjacent to each other, helping analysts to gain a clear overview and to delve into specific areas of interest more easily.

    KW - Information System

    KW - Information Interface and Presentation

    M3 - Conference contribution

    VL - 2015

    SP - 1

    BT - Eurographics Conference on Visualization (EuroVis)

    PB - Eurographics - European Association for Computer Graphics

    ER -