Pregled bibliografske jedinice broj: 965190
Convex Hull Brushing in Scatter Plots - Multi-dimensional Correlation Analysis
Convex Hull Brushing in Scatter Plots - Multi-dimensional Correlation Analysis // Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015) / Braz, Jose ; Kerren, Andreas ; Linsen, Lars (ur.).
Berlin, Njemačka: SCITEPRESS, 2015. str. 182-189 doi:10.5220/0005356501820189 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 965190 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Convex Hull Brushing in Scatter Plots - Multi-dimensional Correlation Analysis
Autori
Nunes, Miguel ; Matkovic, Kresimir ; Bühler, Katja
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015)
/ Braz, Jose ; Kerren, Andreas ; Linsen, Lars - : SCITEPRESS, 2015, 182-189
ISBN
978-989-758-088-8
Skup
6th International Conference on Information Visualization Theory and Applications
Mjesto i datum
Berlin, Njemačka, 11.03.2015. - 14.03.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Visual Analytics, Convex Hull Brush, Scatter Plots, Linked Views, Correlation
Sažetak
Interactive Visual Analysis has been widely used for the reason that it allows users to investigate highly complex data in coordinated multiple views, showing different perspectives over data. In order to relate data, multiple techniques of brushing have been introduced. This work extends the state of the art by introducing the Convex Hull (CH) Brush, which is a new way of selecting and interpreting high dimensional data in scatter plot (SP) views. By using a combination of brushes through linked views, the CH-Brush allows the selection and clustering of values that are not typically defined by SP ranges, in spite of sharing similarities. In CHBrushing is also able to visually report the existence of correlation between variables. Furthermore, we discuss CH-Brushing sensitivity and the application of smoothness. We use synthetic data to support our rationale and clarify the intrinsic meanings of CH-Brushing in scatter plots. We also report on the first experience on using the CH-Brush in a real-world medical case.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo