Proceedings: GI 2016

Visual Clutter Reduction through Hierarchy-based Projection of High-dimensional Labeled Data

Dominik Herr (University of Stuttgart), Qi Han (University of Stuttgart), Steffen Lohmann (University of Stuttgart), Thomas Ertl (University of Stuttgart)

Proceedings of Graphics Interface 2016: Victoria, British Columbia, Canada, 1-3 June 2016, 109-116

DOI 10.20380/GI2016.14

  • BibTex

    author = {Herr, Dominik and Han, Qi and Lohmann, Steffen and Ertl, Thomas},
    title = {Visual Clutter Reduction through Hierarchy-based Projection of High-dimensional Labeled Data},
    booktitle = {Proceedings of Graphics Interface 2016},
    series = {GI 2016},
    year = {2016},
    issn = {0713-5424},
    isbn = {978-0-9947868-1-4},
    location = {Victoria, British Columbia, Canada},
    pages = {109--116},
    numpages = {8},
    doi = {10.20380/GI2016.14},
    publisher = {Canadian Human-Computer Communications Society / Soci{\'e}t{\'e} canadienne du dialogue humain-machine},
  • Supplementary Media


Visualizing high-dimensional labeled data on a two-dimensional plane can quickly result in visual clutter and information overload. To address this problem, the data usually needs to be structured, so that only parts of it are displayed at a time. We present a hierarchy-based approach that projects labeled data on different levels of detail on a two-dimensional plane, whilst keeping the user’s cognitive load between the level changes as low as possible. The approach consists of three steps: First, the data is hierarchically clustered; second, the user can determine levels of detail; third, the levels of detail are visualized one at a time on a two-dimensional plane. Animations make transitions between the levels of detail traceable, while the exploration on each level is supported by several interaction techniques.We demonstrate the applicability and usefulness of the approach with use cases from the patent domain and a question-and-answer website.