Cluster identification with parallel coordinates

Shuo Yan Chou; Shih Wei Lin; Chia Shin Yeh

doi:10.1016/S0167-8655(99)00018-5

Cluster identification with parallel coordinates

Shuo Yan Chou^*, Shih Wei Lin, Chia Shin Yeh

^*Corresponding author for this work

National Taiwan University of Science and Technology

Research output: Contribution to journal › Journal Article › peer-review

28 Scopus citations

Abstract

In this paper, the visualization of multi-dimensional data with the parallel coordinate representation is studied. A particular problem of interest is the identification of lines to which clusters of points are close in an n-dimensional space. By using the duality between the Cartesian and the parallel coordinate systems, a scan-line approach in the parallel coordinate system is established and implemented to aid the identification of such lines.

Original language	English
Pages (from-to)	565-572
Number of pages	8
Journal	Pattern Recognition Letters
Volume	20
Issue number	6
DOIs	https://doi.org/10.1016/S0167-8655(99)00018-5
State	Published - 06 1999
Externally published	Yes

Keywords

Clustering
Duality
Multi-dimensional data visualization
Parallel coordinates
WWW application

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10.1016/S0167-8655(99)00018-5

Cite this

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title = "Cluster identification with parallel coordinates",

abstract = "In this paper, the visualization of multi-dimensional data with the parallel coordinate representation is studied. A particular problem of interest is the identification of lines to which clusters of points are close in an n-dimensional space. By using the duality between the Cartesian and the parallel coordinate systems, a scan-line approach in the parallel coordinate system is established and implemented to aid the identification of such lines.",

keywords = "Clustering, Duality, Multi-dimensional data visualization, Parallel coordinates, WWW application",

author = "Chou, {Shuo Yan} and Lin, {Shih Wei} and Yeh, {Chia Shin}",

year = "1999",

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AU - Lin, Shih Wei

AU - Yeh, Chia Shin

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AB - In this paper, the visualization of multi-dimensional data with the parallel coordinate representation is studied. A particular problem of interest is the identification of lines to which clusters of points are close in an n-dimensional space. By using the duality between the Cartesian and the parallel coordinate systems, a scan-line approach in the parallel coordinate system is established and implemented to aid the identification of such lines.

KW - Clustering

KW - Duality

KW - Multi-dimensional data visualization

KW - Parallel coordinates

KW - WWW application

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U2 - 10.1016/S0167-8655(99)00018-5

DO - 10.1016/S0167-8655(99)00018-5

M3 - 文章

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SN - 0167-8655

VL - 20

SP - 565

EP - 572

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 6

ER -

Cluster identification with parallel coordinates

Abstract

Keywords

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