Visualization for high-dimensional data: VisHD

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

doi:10.1109/IV.2005.146

Visualization for high-dimensional data: VisHD

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

^*Corresponding author for this work

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings - Ninth International Conference on Information Visualisation, iV05
Pages	692-696
Number of pages	5
DOIs	https://doi.org/10.1109/IV.2005.146
Publication status	Published - 2005
Event	9th International Conference on Information Visualisation, iV05 - London, United Kingdom Duration: 2005 Jul 6 → 2005 Jul 8

Publication series

Name	Proceedings of the International Conference on Information Visualisation
Volume	2005
ISSN (Print)	1093-9547

Other

Other	9th International Conference on Information Visualisation, iV05
Country/Territory	United Kingdom
City	London
Period	2005/07/06 → 2005/07/08

Keywords

Dimension reduction
High-dimensional data
Information visualization

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition

Access to Document

10.1109/IV.2005.146

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Visualization for high-dimensional data: VisHD. / Yang, Cheng Chih; Chiang, Cheng Chieh; Hung, Yi Ping et al.
Proceedings - Ninth International Conference on Information Visualisation, iV05. 2005. p. 692-696 1509149 (Proceedings of the International Conference on Information Visualisation; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yang, CC, Chiang, CC, Hung, YP & Lee, GC 2005, Visualization for high-dimensional data: VisHD. in Proceedings - Ninth International Conference on Information Visualisation, iV05., 1509149, Proceedings of the International Conference on Information Visualisation, vol. 2005, pp. 692-696, 9th International Conference on Information Visualisation, iV05, London, United Kingdom, 2005/07/06. https://doi.org/10.1109/IV.2005.146

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title = "Visualization for high-dimensional data: VisHD",

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.",

keywords = "Dimension reduction, High-dimensional data, Information visualization",

author = "Yang, {Cheng Chih} and Chiang, {Cheng Chieh} and Hung, {Yi Ping} and Lee, {Greg C.}",

year = "2005",

doi = "10.1109/IV.2005.146",

language = "English",

isbn = "0769523978",

series = "Proceedings of the International Conference on Information Visualisation",

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note = "9th International Conference on Information Visualisation, iV05 ; Conference date: 06-07-2005 Through 08-07-2005",

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AU - Yang, Cheng Chih

AU - Chiang, Cheng Chieh

AU - Hung, Yi Ping

AU - Lee, Greg C.

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N2 - 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.

AB - 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.

KW - Dimension reduction

KW - High-dimensional data

KW - Information visualization

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M3 - Conference contribution

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T3 - Proceedings of the International Conference on Information Visualisation

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EP - 696

BT - Proceedings - Ninth International Conference on Information Visualisation, iV05

Y2 - 6 July 2005 through 8 July 2005

ER -

Visualization for high-dimensional data: VisHD

Abstract

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Keywords

ASJC Scopus subject areas

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