Hybrid Visualization: A New Approach to Display Instances Relationship and Attributes Behaviour in a Single View

Oliveira, Renan Augusto Pupin De; Silva, Lenon Fachiano; Eler, Danilo Medeiros

doi:10.1109/iv.2015.57

Cited by 5 publications

(1 citation statement)

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“…For example, images can be employed as markers in image visualization approaches. 6,7 Although multidimensional projections provide a way to explore a data set by means of similarity, an inherent problem of the dimensionality reduction is the overlap among markers when a visual metaphor is created, that is, when the circles or images used to represent the instances of a data set are obstructed by other markers. This problem impairs the user exploration and detailed analysis of instances similarity, requiring several interactions with the graphical representation.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of approaches proposed to avoid overlap of markers in visualizations based on multidimensional projection techniques

Marcílio-Jr

Eler

Garcia

et al. 2019

Information Visualization

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Multidimensional projection techniques provide graphical representations computed based on instance similarities to enable the analysis of abstract and possibly large data sets. However, when the data set size grows these graphical representations can hardly avoid overlap among markers. To overcome this issue, while some techniques attempt to remove overlap after multidimensional projection, some projection techniques were developed considering non-overlapping constraints. In this work, we present an analysis of four overlap removal techniques and two projection techniques considering non-overlapping. The evaluation was performed according to five metrics that consider structural and similarity relations, and based on the results we provide a guide to use a technique according to the data set and analysis goals.

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Section: Introductionmentioning

confidence: 99%