Colored mosaic matrix: Visualization technique for high-dimensional data

Hiroaki Kobayashi, Kazuo Misue, Jiro Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Owing to a limited display resolution, it may be difficult to obtain an overview of high-dimensional data in the display area used for visualization. In this paper, we aimed to obtain an overview of high-dimensional data in a limited screen area. We developed Colored Mosaic Matrix as a method to obtain a data overview. Colored Mosaic Matrix is a visualization method for high-dimensional categorical data that uses a color representation of the features. By representing quantitative data in category units, the proposed method enables the visualization of data containing a large number of records. As a result of an experimental investigation of its readability, we found our method to be useful in obtaining a data overview.

Original languageEnglish
Title of host publicationProceedings - 2013 17th International Conference on Information Visualisation, IV 2013
Pages378-383
Number of pages6
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 17th International Conference on Information Visualisation, IV 2013 - London, United Kingdom
Duration: 2013 Jul 162013 Jul 18

Publication series

NameProceedings of the International Conference on Information Visualisation
ISSN (Print)1093-9547

Other

Other2013 17th International Conference on Information Visualisation, IV 2013
CountryUnited Kingdom
CityLondon
Period13/7/1613/7/18

Keywords

  • Color Representation
  • High-Dimensional Data
  • Panel Matrix

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

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  • Cite this

    Kobayashi, H., Misue, K., & Tanaka, J. (2013). Colored mosaic matrix: Visualization technique for high-dimensional data. In Proceedings - 2013 17th International Conference on Information Visualisation, IV 2013 (pp. 378-383). [6676589] (Proceedings of the International Conference on Information Visualisation). https://doi.org/10.1109/IV.2013.50