ContactPerson: agarg@cse.buffalo.edu
### Begin Citation ### Do not delete this line ###
%R 2001-03
%U /web/faculty/agarg/tmp/ivfdc2-tr.ps
%A Bhadra, Debangshu
%A  Garg, Ashim
%T An Interactive Visual Framework for Detecting Clusters of a Multidimensional Dataset
%D March 27, 2001
%I Department of Computer Science and Engineering, SUNY Buffalo
%K  visualization, data mining, cluster, databases, interactive, animation, graphics
%X A key problem in data mining applications is that of detecting 
clusters, i.e., groups of closely related data items, of a 
multidimensional dataset. Users are adept at detecting clusters in 
visually presented information. We, therefore, present an interactive 
framework that allows a user to visualize a multidimensional dataset, 
and detect clusters in it by repeatedly changing its visualization 
using interactive operations such as parameter re-adjustment, zooming, 
subset selection, and cluster probing. Our experiments also suggest 
that animation provides important clues in detecting clusters.


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