Arrangement of low-dimensional parallel coordinate plots for high-dimensional data visualization

Haruka Suematsu, Zheng Yunzhu, Takayuki Itoh, Ryohei Fujimaki, Satoshi Morinaga, Yoshinobu Kawahara

研究成果: 著書/レポートタイプへの貢献会議での発言

7 引用 (Scopus)

抜粋

Multidimensional data visualization is an important research topic that has been receiving increasing attention. Several techniques that use parallel coordinate plots have been proposed to represent all dimensions of data in a single display space. In addition, several other techniques that apply scatter plot matrices have been proposed to represent multidimensional data as a collection of low-dimensional data visualization spaces. Typically, when using the latter approach it is easier to understand relations among particular dimensions, but it is often difficult to observe relations between dimensions separated into different visualization spaces. This paper presents a framework for displaying an arrangement of low-dimensional data visualization spaces that are generated from high-dimensional datasets. Our proposed technique first divides the dimensions of the input datasets into groups of lower dimensions based on their correlations or other relationships. If the groups of lower dimensions can be visualized in independent rectangular spaces, our technique packs the set of low-dimensional data visualizations into a single display space. Because our technique places relevant low-dimensions closer together in the display space, it is easier to visually compare relevant sets of low-dimensional data visualizations. In this paper, we describe in detail how we implement our framework using parallel coordinate plots, and present several results demonstrating its effectiveness.

元の言語英語
ホスト出版物のタイトルProceedings - 2013 17th International Conference on Information Visualisation, IV 2013
ページ59-65
ページ数7
DOI
出版物ステータス出版済み - 12 1 2013
外部発表Yes
イベント2013 17th International Conference on Information Visualisation, IV 2013 - London, 英国
継続期間: 7 16 20137 18 2013

出版物シリーズ

名前Proceedings of the International Conference on Information Visualisation
ISSN(印刷物)1093-9547

会議

会議2013 17th International Conference on Information Visualisation, IV 2013
英国
London
期間7/16/137/18/13

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

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  • これを引用

    Suematsu, H., Yunzhu, Z., Itoh, T., Fujimaki, R., Morinaga, S., & Kawahara, Y. (2013). Arrangement of low-dimensional parallel coordinate plots for high-dimensional data visualization. : Proceedings - 2013 17th International Conference on Information Visualisation, IV 2013 (pp. 59-65). [6676543] (Proceedings of the International Conference on Information Visualisation). https://doi.org/10.1109/IV.2013.7