Computer Science > Human-Computer Interaction
[Submitted on 7 Aug 2023 (this version), latest version 26 Aug 2025 (v2)]
Title:Cluster-Aware Grid Layout
View PDFAbstract:Grid visualizations are widely used in many applications to visually explain a set of data and their proximity relationships. However, existing layout methods face difficulties when dealing with the inherent cluster structures within the data. To address this issue, we propose a cluster-aware grid layout method that aims to better preserve cluster structures by simultaneously considering proximity, compactness, and convexity in the optimization process. Our method utilizes a hybrid optimization strategy that consists of two phases. The global phase aims to balance proximity and compactness within each cluster, while the local phase ensures the convexity of cluster shapes. We evaluate the proposed grid layout method through a series of quantitative experiments and two use cases, demonstrating its effectiveness in preserving cluster structures and facilitating analysis tasks.
Submission history
From: Weikai Yang [view email][v1] Mon, 7 Aug 2023 15:05:25 UTC (22,835 KB)
[v2] Tue, 26 Aug 2025 09:39:10 UTC (22,830 KB)
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