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MVClustViz: A Novice Yet Simple Multivariate Cluster Visualization Technique for Centroid-based Clusters

Author

Listed:
  • Sagar S. De

    (S. N. Bose National Center for Basic Sciences, Kolkata, West Bengal, India)

  • Minati Mishra

    (Department of Information and Communication Technology, Fakir Mohan University, Balasore, Odisha, India)

  • Satchidananda Dehuri

    (Department of Systems Engineering, Ajou University, Suwon, South Korea)

Abstract

In the visual data mining, visualization of clusters is a challenging task. Although lots of techniques already have been developed, the challenges still remain to represent large volume of data with multiple dimension and overlapped clusters. In this paper, a multivariate clusters visualization technique (MVClustViz) has been presented to visualize the centroid-based clusters. The geographic projection technique supports multi-dimension, large volume, and both crisp and fuzzy clusters visualization. This technique is most suitable for range analysis of defense related data.

Suggested Citation

  • Sagar S. De & Minati Mishra & Satchidananda Dehuri, 2013. "MVClustViz: A Novice Yet Simple Multivariate Cluster Visualization Technique for Centroid-based Clusters," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 2(4), pages 19-32, October.
    • Handle: RePEc:igg:jsda00:v:2:y:2013:i:4:p:19-32
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