星型闪烁轴排序策略的评价
Evaluating Ordering Strategies of Star Glyph Axes
摘要：
星形图示符是一种经过充分研究的表示多维数据的可视化技术。它们通常用于小的多个设置，用于许多数据点的视觉比较。然而，它们的整体视觉外观受到尺寸排序的强烈影响。为此，在文献中提出了两种正交类别的布局策略：通过相似性排序尺寸以获得均匀形状的字形，而通过不相似性排序以强调尖峰和突出形状。虽然有证据表明，显着的形状支持聚类任务，评估和直接比较数据驱动的排序策略并没有得到太多的研究关注。我们贡献了一个经验性的用户研究，以评估效率，有效性和用户的信心，在视觉聚类任务使用星形字形。与基于相似性的排序相比，我们的研究结果表明，基于差异性的星形布局更好地支持用户聚类任务，特别是当混乱存在时。
英文摘要：
Star glyphs are a well-researched visualization technique to represent multi-dimensional data. They are often used in small multiple settings for a visual comparison of many data points. However, their overall visual appearance is strongly influenced by the ordering of dimensions. To this end, two orthogonal categories of layout strategies are proposed in the literature: order dimensions by similarity to get homogeneously shaped glyphs vs. order by dissimilarity to emphasize spikes and salient shapes. While there is evidence that salient shapes support clustering tasks, evaluation, and direct comparison of data-driven ordering strategies has not received much research attention. We contribute an empirical user study to evaluate the efficiency, effectiveness, and user confidence in visual clustering tasks using star glyphs. In comparison to similarity-based ordering, our results indicate that dissimilarity-based star glyph layouts support users better in clustering tasks, especially when clutter is present.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
