A System for Graph Clustering Based on User Hints

This paper presents a system for graph clustering where users can visualize the clustering and give "hints" that help a computing method to find better solutions. Hints include a variety of constraints, as well as direct manipulation of the previously computed clustering. The framework is flexible: it can accommodate several kinds of hints, clustering algorithms, and visualization techniques.

• Type: Conference
• Year: 2000
• Where: VIP
• Authors: Hugo A. D. do Nascimento, Peter Eades
• Keywords: Better Solutions, Computing Method, Direct Manipulation, VIP 2000, VIP 2001