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Publications
Filters: Author is T. Seidl [Clear All Filters]
Detecting and Exploring Clusters in Attributed Graphs. Proceedings of the 22nd ACM Conference on Information and Knowledge Management (CIKM 2013).
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2013.
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.
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2012.
SMVC: Semi-Supervised Multi-View Clustering in Subspace Projections. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'14). 20:253-262.
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2014.
Spectral Subspace Clustering for Graphs with Feature Vectors. Proceedings of the IEEE International Conference on Data Mining (ICDM 2013).
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2013.
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.
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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.
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2012.