Sakyo & Ukyo: A technique for visualization of large-scale table data

DOI 21 References

Bibliographic Information

Other Title
  • 左京と右京：大規模表形式データの可視化の一手法

Description

Clustered table or matrix data is often very important in various computer science fields. Many of recently reported vsiualization techniques for the table data convert them into hierarchical or graph data. This paper presents "Sakyo & Ukyo", a visualization technique for table or matrix data, applying a hierarchical data visualization technique "HeiankyoView". The technique first applies clustering for rows and columns of table data independently, and constructs two hierarchical data from the clustering results. It then independently applies "HeiankyoView" to the two hierarchical data. It realizes a new visualization schema by providing a mechanism to interact the two hierarchical data each other. We have applied "Sakyo & Ukyo" to the visualization of table data constructed from the corpus of newspaper articles. This paper introduces that we discovered intersting clusters of keywords and documents by "Sakyo & Ukyo".

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Details 詳細情報について

  • CRID
    1390282680267655040
  • NII Article ID
    130004508515
  • DOI
    10.3756/artsci.7.22
  • ISSN
    13472267
  • Text Lang
    ja
  • Article Type
    journal article
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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