Visualization for high-dimensional data: VisHD

Cheng Chih Yang, Cheng Chieh Chiang, Yi Ping Hung, Greg C. Lee

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

1 Citation (Scopus)

Abstract

This paper presents a visualization tool, VisHD, that can visualize the spatial distribution of vector points in high dimensional feature space. It is important to handle high dimensional information in many areas of computer science. VisHD provides several methods for dimension reduction in order to map the data from high dimensional space to low dimensional one. Next, this system builds intuitive visualization for observing the characteristics of the data set, whether these data are pre-defined labels or not. In addition, some useful functions have been implemented to facilitate the information visualization. This paper, finally, gives some experiments and discussions for showing the abilities of VisHD for visualizing high-dimensional data.

Original languageEnglish
Title of host publicationProceedings - Ninth International Conference on Information Visualisation, iV05
Pages692-696
Number of pages5
DOIs
Publication statusPublished - 2005 Dec 1
Event9th International Conference on Information Visualisation, iV05 - London, United Kingdom
Duration: 2005 Jul 62005 Jul 8

Publication series

NameProceedings of the International Conference on Information Visualisation
Volume2005
ISSN (Print)1093-9547

Other

Other9th International Conference on Information Visualisation, iV05
CountryUnited Kingdom
CityLondon
Period05/7/605/7/8

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Keywords

  • Dimension reduction
  • High-dimensional data
  • Information visualization

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

Cite this

Yang, C. C., Chiang, C. C., Hung, Y. P., & Lee, G. C. (2005). Visualization for high-dimensional data: VisHD. In Proceedings - Ninth International Conference on Information Visualisation, iV05 (pp. 692-696). [1509149] (Proceedings of the International Conference on Information Visualisation; Vol. 2005). https://doi.org/10.1109/IV.2005.146