@conference {13443,
	title = {Interactive visual clustering},
	booktitle = {Proceedings of the 12th international conference on Intelligent user interfaces},
	series = {IUI {\textquoteright}07},
	year = {2007},
	month = {2007///},
	pages = {361 - 364},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {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 with user interaction and constrained clustering. Experimental results on several synthetic and real-world data sets show that IVC yields better clustering performance than alternative methods.},
	keywords = {clustering, constraints, interaction},
	isbn = {1-59593-481-2},
	doi = {10.1145/1216295.1216367},
	url = {http://doi.acm.org/10.1145/1216295.1216367},
	author = {desJardins, Marie and MacGlashan,James and Ferraioli,Julia}
}
