Visual analysis of multivariate state transition graphs
We present a new approach for the visual analysis of state transition graphs. We deal with multivariate graphs where a number of attributes are associated with every node. Our method provides an interactive attribute-based clustering facility. Clustering results in metric, hierarchical and relationa...
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 12(2006), 5 vom: 11. Sept., Seite 685-92 |
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| Format: | Article |
| Langue: | English |
| Publié: |
2006
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| Accès à la collection: | IEEE transactions on visualization and computer graphics |
| Sujets: | Journal Article |