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DUSC: Dimensionality Unbiased Subspace Clustering., , , and . ICDM, page 409-414. IEEE Computer Society, (2007)Identifying User Interests within the Data Space - a Case Study with SkyServer., , , , , and . EDBT, page 641-652. OpenProceedings.org, (2015)Unsupervised interaction-preserving discretization of multivariate data., , , and . Data Min. Knowl. Discov., 28 (5-6): 1366-1397 (2014)DensEst: Density Estimation for Data Mining in High Dimensional Spaces., , , , and . SDM, page 175-186. SIAM, (2009)Flexible Subspace Search for Outlier Detection and Description.. LWA, page 121. Universitätsbibliothek Bamberg, (2013)Intrinsic Multi-scale Evaluation of Generative Models., , , , , , and . CoRR, (2019)Including Multi-feature Interactions and Redundancy for Feature Ranking in Mixed Datasets., , , , and . ECML/PKDD (1), volume 10534 of Lecture Notes in Computer Science, page 239-255. Springer, (2017)OutRules: A Framework for Outlier Descriptions in Multiple Context Spaces., , , and . ECML/PKDD (2), volume 7524 of Lecture Notes in Computer Science, page 828-832. Springer, (2012)Flexible Fault Tolerant Subspace Clustering for Data with Missing Values., , , and . ICDM, page 231-240. IEEE Computer Society, (2011)Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data., , , , and . ICDM, page 377-386. IEEE Computer Society, (2009)