Title :
An Interactive, Example-Based, Visual Clustering System
Author :
Bruneau, Pierrick ; Otjacques, Benoit
Author_Institution :
CRP - Gabriel Lippmann, Belvaux, Luxembourg
Abstract :
This work describes and evaluates a novel interactive visual clustering system. It combines a 2D projection with a clustering algorithm that operates on this projected data. Users can interact directly through the 2D representation, by providing examples according to their expert ground truth. Each interaction incrementally updates the 2D projection and the associated clustering. Experiments show the effectiveness of the method, with as few as one interaction leading to a tangible influence on the visualization.
Keywords :
data visualisation; pattern clustering; 2D projection; 2D representation; expert ground truth; interactive example-based visual clustering system; projected data; Interactive Clustering; Visual Clustering;
Conference_Titel :
Information Visualisation (IV), 2013 17th International Conference
Conference_Location :
London
