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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Danyel Fisher</author_name><author_url>https://www.microsoft.com/en-us/research/people/danyelf/</author_url><title>Fast Dynamic Voronoi Treemaps - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="SALIWEJDZ4"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/fast-dynamic-voronoi-treemaps/"&gt;Fast Dynamic Voronoi Treemaps&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/fast-dynamic-voronoi-treemaps/embed/#?secret=SALIWEJDZ4" width="600" height="338" title="&#x201C;Fast Dynamic Voronoi Treemaps&#x201D; &#x2014; Microsoft Research" data-secret="SALIWEJDZ4" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>The Voronoi Treemap is a space-filling treemap technique that relaxes the constraints of rectangular nodes. Its organic shapes maintain a one-to-one aspect ratio, are flexible with their placement, allowing stable zooming and dynamic data values. In this paper, we present algorithms for efficient computation and dynamic update of Voronoi Treemaps. Our GPGPU-based technique allows for [&hellip;]</description></oembed>
