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

Sagar S. De, Minati Mishra and Satchidananda Dehuri
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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

International Journal of System Dynamics Applications (IJSDA), 2013, vol. 2, issue 4, 19-32

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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jsda00:v:2:y:2013:i:4:p:19-32

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