Drawing clusters and hierarchies
Drawing graphs
Adaptive Visual Clustering for Mixed-Initiative Information Structuring
Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009
Improved Visual Clustering through Unsupervised Dimensionality Reduction
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
A cluster-level semi-supervision model for interactive clustering
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
CueT: human-guided fast and accurate network alarm triage
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Helping users sort faster with adaptive machine learning recommendations
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part III
iVisClustering: An Interactive Visual Document Clustering via Topic Modeling
Computer Graphics Forum
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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.