Visualization and analysis of large graphs

Loubier, Eloïse; Bahsoun, Wahiba; Dousset, Bernard

doi:10.1145/1316874.1316882

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An Interactive Visualization Of Clusters1

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2010

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“…Several methods had been proposed in the literature to visualized time series. Many of them [5,21,20] provide a new visualization at each change and make a morphing of the new representation with the previous one. But in this case, there are several steps in the visualization process: (1) providing a graphical representation and (2) morphing this representation with the previous one.…”

Section: An Interactive Visualization Of Clustersmentioning

confidence: 99%

Interactive unsupervised classification and visualization for browsing an image collection

Bruneau

Picarougne

Gelgon

2010

Pattern Recognition

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In this paper, we propose an approach to interactive navigation in image collections. As structured groups are more appealing to users than flat image collections, we propose an image clustering algorithm, with an incremental version that handles time-varying collections. A 3D graph-based visualization technique reflects the classification state. While this classification visualization is itself interactive, we show how user feedback may assist the classification, thus enabling a user to improve it.

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Section: An Interactive Visualization Of Clustersmentioning

confidence: 99%