MVClustViz

2013 ◽  
Vol 2 (4) ◽  
pp. 19-32
Author(s):  
Sagar S. De ◽  
Minati Mishra ◽  
Satchidananda Dehuri

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.

Author(s):  
Guillermo III Francia ◽  
Monica Trifas ◽  
Dorothy Brown ◽  
Rahjimao Francia ◽  
Chrissy Scott

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