Publications

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Filters: Project is [Project Phase 2] Visual Analytics methods to steer the subspace clustering process  [Clear All Filters]
2014
Günnemann S, Färber I, Mausbach T, Seidl T.  2014.  SMVC: Semi-Supervised Multi-View Clustering in Subspace Projections. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'14). 20:253-262.
2013
Maaß F.  2013.  An approach for steerable visual subspace search for pattern discovery in high dimensional data. Universität Konstanz. Master of Science
Gerwert P.  2013.  Constraint-based Susbpace Clustering utilizing Combined Graph clustering Methods. RWTH Aachen. Master of Science
Boden B, Haag R, Seidl T.  2013.  Detecting and Exploring Clusters in Attributed Graphs. Proceedings of the 22nd ACM Conference on Information and Knowledge Management (CIKM 2013).
Rüdiger M.  2013.  Integration von Vorwissen in mischverteilungsbasierte Multi-View Subspace Clusteringverfahren. RWTH Aachen. Master of Science
Stepien G.  2013.  Modularity-based determination of node clusters and their significant edge subspaces in networks with vector-labeled edges. RWTH Aachen. Bachelor of Science
Günnemann S, Färber I, Raubach S, Seidl T.  2013.  Spectral Subspace Clustering for Graphs with Feature Vectors. Proceedings of the IEEE International Conference on Data Mining (ICDM 2013).
Tatu A.  2013.  Visual Analytics of Patterns in High-Dimensional Data. Universität Konstanz. Dr.
2012
Tatu A, Zhang L, Bertini E, Schreck T, Keim DA, Bremm S, von Landesberger T.  2012.  ClustNails: Visual Analysis of Subspace Clusters. Tsinghua Science and Technology, Special Issue on Visualization and Computer Graphics. 17(4):419-428.
Günnemann S, Färber I, Seidl T.  2012.  Multi-view clustering using mixture models in subspace projections. Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'12). :132-140.
Raubach S.  2012.  Projected Spectral Clustering on Graphs with Feature Vectors. RWTH Aachen. Master of Science
Günnemann S, Färber I, Virochsiri K, Seidl T.  2012.  Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data. Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'12). :352-360.
Tatu A, Maaß F, Färber I, Bertini E, Schreck T, Seidl T, Keim DA.  2012.  Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data. Procedings of IEEE Symposium on Visual Analytics Science and Technology (VAST). :63-72.
Sedlmair M, Tatu A, Munzner T, Tory M.  2012.  A Taxonomy of Visual Cluster Separation Factors. Computer Graphics Forum (Proc. EuroVis 2012). 31(3):1335-1344.