一种基于网格的方法来消除尺寸缩减分散图布局的重叠
IEEE transactions on visualization and computer graphics
|August 30, 2023
概括
减小维度 (DR) 散点图通常具有重叠的数据点. 我们新的距离网格 (DGrid) 方法有效地消除了这些重叠,同时保留了原始数据布局和图形可读性.
科学领域:
- 数据可视化 数据可视化
- 信息可视化 信息可视化
- 计算机图形 计算机图形
背景情况:
- 减小维度 (DR) 分散图被广泛用于多维数据分析.
- 在DR散射图中,特别是信息符号中,隐藏阻碍了数据的解释.
- 现有的重叠删除方法通常会损害布局完整性或图形可见性.
研究的目的:
- 引入距离网格 (DGrid),这是一个新的后处理策略,用于在DR散射图中删除重叠.
- 为了解决当前方法的局限性,这些方法会扭曲布局或减少图形大小.
- 为了保持原始的散射图特征,并确保字符的可读性.
主要方法:
- 开发了距离网格 (DGrid) 作为DR分散图布局的后处理技术.
- 实现了DGrid以消除字符重叠,同时保持布局保真.
- 进行了广泛的比较评估和用户研究以评估性能.
主要成果:
- 在消除跨多个指标的重叠方面,DGrid显著超过了最先进的方法.
- 电网总局表现出卓越的速度,特别是在大型数据集方面.
- 用户研究证实了DGrid在维护视觉特征和美学方面的有效性.
结论:
- DGrid提供了一种有效和高效的解决方案,用于在DR分散图中删除重叠.
- 该方法成功地平衡了消除重叠的方法,同时保持了数据结构和视觉质量.
- 在高维数据的可视化方面,DGrid代表了显著的进步.
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