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Visualization and representation of data clusters and relations

机译:数据集群和关系的可视化和表示

摘要

Relational data can be visualized in a map representation. A plurality of vertices and edges are determined based on a set of data identifying objects (i.e., vertices) and relationships (i.e., edges). The vertices and edges are embedded in a planar graph and a Voronoi diagram is generated based at least the plurality of vertices within a set of bounding-points located at least a distance away from the vertices of the map. A bounding-box is associated with each of the vertices, and a set of points generated along each bounding-box. The Voronoi diagram is generated based on the vertices and the set of points of each bounding-box. Each resulting Voronoi cell associated with a common vertex is merged to form a plurality of common cells (i.e., map). The size of each bounding-box can correlate to the importance of its associated vertex, and the points along the bounding-box can be randomly perturbed.
机译:关系数据可以在地图表示中可视化。基于一组识别对象(即,顶点)和关系(即,边缘)的数据来确定多个顶点和边缘。顶点和边被嵌入到平面图中,并且至少在距地图的顶点至少一段距离的一组边界点内,至少根据多个顶点生成Voronoi图。边界框与每个顶点关联,并且沿每个边界框生成一组点。 Voronoi图是基于每个边界框的顶点和点集生成的。与公共顶点相关联的每个得到的Vor​​onoi单元被合并以形成多个公共单元(即,图)。每个边界框的大小可以与其关联的顶点的重要性相关联,并且沿着边界框的点可以被随机地扰动。

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