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ClusterSculptor: A Visual Analytics Tool for High-Dimensional Data
Found in: Symposium On Visual Analytics Science And Technology
By Eun Ju Nam, Yiping Han, Klaus Mueller, Alla Zelenyuk, Dan Imre
Issue Date:November 2007
pp. 75-82
Cluster analysis (CA) is a powerful strategy for the exploration of high-dimensional data in the absence of a-priori hypotheses or data classification models, and the results of CA can then be used to form such models. But even though formal models and cla...
 
A Structure-Based Distance Metric for High-Dimensional Space Exploration with Multidimensional Scaling
Found in: IEEE Transactions on Visualization and Computer Graphics
By Jenny Hyunjung Lee,Kevin T. McDonnell,Alla Zelenyuk,Dan Imre,Klaus Mueller
Issue Date:March 2014
pp. 351-364
Although the euclidean distance does well in measuring data distances within high-dimensional clusters, it does poorly when it comes to gauging intercluster distances. This significantly impacts the quality of global, low-dimensional space embedding proced...
 
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