DICON: Interactive Visual Analysis of Multidimensional Clusters

@article{Cao2011DICONIV,
  title={DICON: Interactive Visual Analysis of Multidimensional Clusters},
  author={Nan Cao and David Gotz and Jimeng Sun and Huamin Qu},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2011},
  volume={17},
  pages={2581-2590}
}
Clustering as a fundamental data analysis technique has been widely used in many analytic applications. However, it is often difficult for users to understand and evaluate multidimensional clustering results, especially the quality of clusters and their semantics. For large and complex data, high-level statistical information about the clusters is often needed for users to evaluate cluster quality while a detailed display of multidimensional attributes of the data is necessary to understand the… CONTINUE READING
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