Scatterplot Visualization of Hierarchically Clustered Data Points

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00368873" target="_blank" >RIV/68407700:21230/23:00368873 - isvavai.cz</a>

Výsledek na webu

<a href="https://cescg.org/cescg_submission/scatterplot-visualization-of-hierarchically-clustered-data-points/" target="_blank" >https://cescg.org/cescg_submission/scatterplot-visualization-of-hierarchically-clustered-data-points/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Scatterplot Visualization of Hierarchically Clustered Data Points

Popis výsledku v původním jazyce

The focus of this paper is real-time visualization of and interaction with scatterplots with hundreds of thousands of data points, where the points are organized into a hierarchy of clusters. We present a technique that automatically selects a color palette for the clusters of the selected level. The level of the cluster hierarchy and the color palette are dynamically adjusted by zooming the scatterplot. Furthermore, the technique improves visibility of the displayed clusters by reducing occlusion of the overlapping clusters. We demonstrate the visualization technique using two real medical datasets containing 2D coordinates of hundreds of thousands points.

Název v anglickém jazyce

Scatterplot Visualization of Hierarchically Clustered Data Points

Popis výsledku anglicky

The focus of this paper is real-time visualization of and interaction with scatterplots with hundreds of thousands of data points, where the points are organized into a hierarchy of clusters. We present a technique that automatically selects a color palette for the clusters of the selected level. The level of the cluster hierarchy and the color palette are dynamically adjusted by zooming the scatterplot. Furthermore, the technique improves visibility of the displayed clusters by reducing occlusion of the overlapping clusters. We demonstrate the visualization technique using two real medical datasets containing 2D coordinates of hundreds of thousands points.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů