Kammer, DietrichKeck, MandyMüller, MathiasGründer, ThomasGroh, RainerBurghardt, ManuelWimmer, RaphaelWolff, ChristianWomser-Hacker, Christa2017-08-092017-08-092017https://dl.gi.de/handle/20.500.12116/3202In 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.enElastic displaysBig Datainteractioncluster algorithmsText/Conference Paper10.18420/muc2017-ws08-0342