Interactive visualization of hierarchical clusters using MDS and MST

Sung Soo Kim, Sunhee Kwon, Dianne Cook

Research output: Contribution to journalArticleResearchpeer-review

22 Citations (Scopus)


In this paper, we discuss interactively visualizing hierarchical clustering using multidimensional scaling (MDS) and the minimal spanning tree (MST). We can examine the sequential process leading to agglomerative or divisive hierarchical clustering, compare the different agglomerative methods, and detect influential observations better than is possible with dendrograms.

Original languageEnglish
Pages (from-to)39-51
Number of pages13
Issue number1
Publication statusPublished - 1 Jan 2000
Externally publishedYes


  • Data mining
  • Dynamic graphics
  • Grand tour
  • Hierarchical cluster analysis
  • Interactive visualization
  • Minimal spanning tree (MST)
  • Multidimensional scaling (MDS)
  • Statistical graphics

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