TY - CONF
T1 - Exploring Big Data Landscapes with Elastic Displays.
AU - Kammer, Dietrich
AU - Keck, Mandy
AU - Müller, Mathias
AU - Gründer, Thomas
AU - Groh, Rainer
N1 - Funding Information:
Acknowledgements. On behalf of Dietrich Kammer, Mandy Keck and Thomas Gründer, this research (project no. 100238473) has been funded by the European Regional Development Fund and the Free State of Saxony. On behalf of Mathias Müller, this research (project no. 100271686) has been funded by the European Social Fund and the Free State of Saxony.
Publisher Copyright:
Copyright (C) 2017 bei den Autoren.
PY - 2017
Y1 - 2017
N2 - In this paper, we propose a concept to help data analysts to quickly assess parameters and results of cluster algorithms. The presentation and interaction on a flexible display makes it possible to grasp the functioning of algorithms and focus on the data itself. Two interaction concepts are presented, which demonstrate the strength of elastic displays: a layer concept that allows the recognition of differences between various parameter settings of cluster algorithms, and a Zoomable User Interface, which encourages the in-depth analysis of clusters.
AB - In this paper, we propose a concept to help data analysts to quickly assess parameters and results of cluster algorithms. The presentation and interaction on a flexible display makes it possible to grasp the functioning of algorithms and focus on the data itself. Two interaction concepts are presented, which demonstrate the strength of elastic displays: a layer concept that allows the recognition of differences between various parameter settings of cluster algorithms, and a Zoomable User Interface, which encourages the in-depth analysis of clusters.
KW - elastic displays
KW - information visualization
KW - Glyph-based Visualization Techniques
KW - dimensionality reduction
UR - http://www.scopus.com/inward/record.url?scp=85138795244&partnerID=8YFLogxK
U2 - 10.18420/MUC2017-WS08-0342
DO - 10.18420/MUC2017-WS08-0342
M3 - Paper
SP - 381
EP - 387
T2 - Fachtagung Mensch und Computer 2017
Y2 - 10 September 2017 through 13 September 2017
ER -