DICON: Interactive Visual Analysis of Multidimensional Clusters
DICON: Interactive Visual Analysis of Multidimensional Clusters
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DOI：
10.1109/tvcg.2011.188
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发表时间：
2011-12-01
影响因子：
5.2
通讯作者：
Qu, Huamin
中科院分区：
文献类型：
--
作者：
Cao, Nan;Gotz, David;Qu, Huamin
聚类作为一种基本的数据分析技术，在许多分析应用中得到了广泛应用。然而，用户通常很难理解和评估多维聚类结果，特别是聚类的质量及其语义。对于大型和复杂的数据，用户通常需要关于集群的高级统计信息来评估集群的质量，而为了理解集群的含义，需要详细显示数据的多维属性。在本文中，我们介绍了DICON，一种基于图标的聚类可视化，它将统计信息嵌入到多属性显示中，以方便聚类解释、评估和比较。我们设计了一个类似树状图的图标来表示多维聚类，并且可以方便地利用嵌入的统计信息来评估聚类的质量。我们进一步开发了一种新的布局算法，可以为相似的集群生成相似的图标，使集群的比较更容易。系统集成了用户交互和杂波减少，以帮助用户更有效地分析和细化大型数据集的聚类结果。我们通过一个用户研究和一个医疗保健领域的案例研究来展示DICON的强大功能。我们的评估显示了该技术的好处，特别是在支持复杂的多维聚类分析方面。
Clustering as a fundamental data analysis technique has been widely used in many analytic applications. However, it is often difficult for users to understand and evaluate multidimensional clustering results, especially the quality of clusters and their semantics. For large and complex data, high-level statistical information about the clusters is often needed for users to evaluate cluster quality while a detailed display of multidimensional attributes of the data is necessary to understand the meaning of clusters. In this paper, we introduce DICON, an icon-based cluster visualization that embeds statistical information into a multi-attribute display to facilitate cluster interpretation, evaluation, and comparison. We design a treemap-like icon to represent a multidimensional cluster, and the quality of the cluster can be conveniently evaluated with the embedded statistical information. We further develop a novel layout algorithm which can generate similar icons for similar clusters, making comparisons of clusters easier. User interaction and clutter reduction are integrated into the system to help users more effectively analyze and refine clustering results for large datasets. We demonstrate the power of DICON through a user study and a case study in the healthcare domain. Our evaluation shows the benefits of the technique, especially in support of complex multidimensional cluster analysis.