Cluster identification with parallel coordinates

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

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

28 Scopus citations


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 languageEnglish
Pages (from-to)565-572
Number of pages8
JournalPattern Recognition Letters
Issue number6
StatePublished - 06 1999
Externally publishedYes


  • Clustering
  • Duality
  • Multi-dimensional data visualization
  • Parallel coordinates
  • WWW application


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