Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms

Stephan Günnemann, Ines Färber, Brigitte Boden, +1

Cluster ComputingEngineeringCommunity MiningNetwork AnalysisMining Methods +18

On Using Class-Labels in Evaluation of Clusterings

Ines Färber, Stephan Günnemann, Hans‐Peter Kriegel, +6

RWTH Publications (RWTH Aachen)

Subspace search and visualization to make sense of alternative clusterings in high-dimensional data

Andrada Tatu, Fabian Maas, Ines Färber, +4

EngineeringData ExplorationSingle SubspaceSubspace Similarity FunctionsInteractive Visualization +17

Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data

Emmanuel Müller, Stephan Günnemann, Ines Färber, +1

Cluster ComputingEngineeringMultiple Clustering SolutionsUnsupervised Machine LearningOptimization-based Data Mining +15

Spectral Subspace Clustering for Graphs with Feature Vectors

Stephan Günnemann, Ines Färber, Sebastian Raubach, +1

Cluster ComputingGraph SparsityEngineeringMachine LearningNetwork Analysis +17

External evaluation measures for subspace clustering

Stephan Günnemann, Ines Färber, Emmanuel Müller, +2

Cluster ComputingEngineeringFair EvaluationUnsupervised Machine LearningText Mining +16

Detection of orthogonal concepts in subspaces of high dimensional data

Stephan Günnemann, Emmanuel Müller, Ines Färber, +1

Cluster ComputingMutual SimilarityEngineeringText MiningOptimization-based Data Mining +16

GAMer: a synthesis of subspace clustering and dense subgraph mining

Stephan Günnemann, Ines Färber, Brigitte Boden, +1

Knowledge and Information Systems

EngineeringGraph TheoryData ScienceData MiningKnowledge Discovery +9

Multi-view clustering using mixture models in subspace projections

Stephan Günnemann, Ines Färber, Thomas Seidl

EngineeringMachine LearningBayesian FrameworkImage AnalysisData Science +15

Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data

Emmanuel Müller, Stephan Günnemann, Ines Färber, +1

Cluster ComputingEngineeringOpen ChallengesMultiple Clustering SolutionsUnsupervised Machine Learning +16