An Interactive, Example-Based, Visual Clustering System

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.