Interactive visual clustering

Interactive Visual Clustering (IVC) is a novel method that allows a user to explore relational data sets interactively, in order to produce a clustering that satisfies their objectives. IVC combines spring-embedded graph layout techniques with user interaction and constrained clustering. This paper describes the IVC method, and gives experimental results on several synthetic and real-world data sets, showing that IVC yields better clustering performance than several alternative methods. ACM Classification: I2.6 [Artificial Intelligence]: Learning. H5.2 [Information interfaces and presentation]: Graphical