A space-filling multidimensional visualization (SFMDVis) for exploratory data analysis

Tze-Haw Huang, Mao Lin Huang, Quang Vinh Nguyen, Laiping Zhao

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    3 Citations (Scopus)

    Abstract

    ![CDATA[We introduce a new Space-Filling Multidimensional Data Visualization (SFMDVis) that can be used to facilitate the viewing, interaction and analysis of the multidimensional data with a fully utilized display space. The existing multidimensional visualizations typically create visual clutter and over-plotting that make it difficult for interaction with data items directly. Our new space filling technique uses horizontal lines to represent multidimensional data items. Each line is logically divided into segments based on color mapping in order to denote the data item with its value. The proposed visualization is space efficient and also avoids the visual clutter and over-plotting problems as we have often observed in other visualizations. In addition, we allow user to interact directly with data on the display which is more intuitive and efficient than other means.]]
    Original languageEnglish
    Title of host publicationProceedings of the 7th International Symposium on Visual Information Communication and Interaction (VINCI' 14), Sydney, Australia, 5-8 August 2014
    PublisherAssociation for Computing Machinery
    Pages19-28
    Number of pages10
    ISBN (Print)9781450327657
    Publication statusPublished - 2014
    EventInternational Symposium on Visual Information Communication and Interaction -
    Duration: 5 Aug 2014 → …

    Conference

    ConferenceInternational Symposium on Visual Information Communication and Interaction
    Period5/08/14 → …

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