A Hybrid Visualization Approach to Perform Analysis of Feature Spaces

Marcílio-Jr, Wilson E.; Eler, Danilo Medeiros; Garcia, Rogério Eduardo; Correia, Ronaldo Celso Messias; Silva, Lenon Fachiano

doi:10.1007/978-3-030-43020-7_32

Cited by 2 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Liao et al [29] use radial glyphs as abstract visual summaries for clusters in multivariate scatterplots. Júnior et al [24] propose the use of star plots as visual summaries for the analysis of feature spaces. The Probing Projections technique [45], as explained above, uses histograms to summarize the high-dimensional value distributions of clusters.…”

Section: Summary Visualizationmentioning

confidence: 99%

Visual Exploration of Relationships and Structure in Low-Dimensional Embeddings

Eckelt¹,

Hinterreiter²,

Adelberger³

et al. 2021

Preprint

View full text Add to dashboard Cite

In this work, we propose an interactive visual approach for the exploration of structural relationships in embeddings of high-dimensional data. These structural relationships, such as item sequences, associations of items with groups, and hierarchies between groups of items, are defining properties of many real-world datasets. Nevertheless, most existing methods for the visual exploration of embeddings treat these structures as second-class citizens or do not take them into account at all. In our proposed analysis workflow, users explore enriched scatterplots of the embedding, in which relationships between items and/or groups are visually highlighted. The original high-dimensional data for single items, groups of items, or differences between connected items and groups is accessible through additional summary visualizations. We carefully tailored these summary and difference visualizations to the various data types and semantic contexts. During their exploratory analysis, users can externalize their insights by setting up additional groups and relationships between items and/or groups, thereby creating graphs that represent visual data stories. We demonstrate the utility and potential impact of our approach by means of two use cases and multiple examples from various domains.

show abstract

Section: Summary Visualizationmentioning

confidence: 99%