Clusters in Focus: A Simple and Robust Detail-On-Demand Dashboard for Patient Data

Simple item page
dc.contributor.authorSchilcher, Lukasen_US
dc.contributor.authorWaldert, Peteren_US
dc.contributor.authorKantz, Benedikten_US
dc.contributor.authorSchreck, Tobiasen_US
dc.contributor.editorGarrison, Lauraen_US
dc.contributor.editorKrueger, Roberten_US
dc.date.accessioned2025-09-24T09:11:54Z
dc.date.available2025-09-24T09:11:54Z
dc.date.issued2025
dc.description.abstractExploring tabular datasets to understand how different feature pairs partition data into meaningful cohorts is crucial in domains such as biomarker discovery, yet comparing clusters across multiple feature pair projections is challenging. We introduce Clusters in Focus, an interactive visual analytics dashboard designed to address this gap. Clusters in Focus employs a threepanel coordinated view: a Data Panel offers multiple perspectives (tabular, heatmap, condensed with histograms / SHAP values) for initial data exploration; a Selection Panel displays the 2D clustering (K-Means/DBSCAN) for a user-selected feature pair; and a novel Cluster Similarity Panel featuring two switchable views for comparing clusters. A ranked list enables the identification of top-matching feature pairs, while an interactive similarity matrix with reordering capabilities allows for the discovery of global structural patterns and groups of related features. This dual-view design supports both focused querying and broad visual exploration. A use case on a Parkinson's disease speech dataset demonstrates the tool's effectiveness in revealing relationships between different feature pairs characterizing the same patient subgroup.en_US
dc.description.sectionheadersSession 2
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20251250
dc.identifier.isbn978-3-03868-276-9
dc.identifier.issn2070-5786
dc.identifier.pages5 pages
dc.identifier.urihttps://doi.org/10.2312/vcbm.20251250
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/vcbm20251250
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Visual analytics; Applied computing → Health informatics
dc.subjectHuman centered computing → Visual analytics
dc.subjectApplied computing → Health informatics
dc.titleClusters in Focus: A Simple and Robust Detail-On-Demand Dashboard for Patient Dataen_US
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
vcbm20251250.pdf
Size:
1.59 MB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
paper1022_mm.pdf
Size:
98.86 KB
Format:
Adobe Portable Document Format
Download
Collections
VCBM 2025: Eurographics Workshop on Visual Computing for Biology and Medicine