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MESS: Manifold Embedding Motivated Super Sampling.

, and . SISAP, volume 13058 of Lecture Notes in Computer Science, page 232-246. Springer, (2021)

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Intrinsic t-Stochastic Neighbor Embedding for Visualization and Outlier Detection - A Remedy Against the Curse of Dimensionality?, and . SISAP, volume 10609 of Lecture Notes in Computer Science, page 188-203. Springer, (2017)Evaluation of Multiple Clustering Solutions., , and . MultiClust@ECML/PKDD, volume 772 of CEUR Workshop Proceedings, page 55-66. CEUR-WS.org, (2011)Visual Evaluation of Outlier Detection Models., , , , , and . DASFAA (2), volume 5982 of Lecture Notes in Computer Science, page 396-399. Springer, (2010)Numerically stable parallel computation of (co-)variance., and . SSDBM, page 10:1-10:12. ACM, (2018)BETULA: Numerically Stable CF-Trees for BIRCH Clustering., and . SISAP, volume 12440 of Lecture Notes in Computer Science, page 281-296. Springer, (2020)ABID: Angle Based Intrinsic Dimensionality., and . SISAP, volume 12440 of Lecture Notes in Computer Science, page 218-232. Springer, (2020)On Projections to Linear Subspaces., and . CoRR, (2022)On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study., , , , , , , and . Data Min. Knowl. Discov., 30 (4): 891-927 (2016)On the Correlation Between Local Intrinsic Dimensionality and Outlierness., , and . SISAP, volume 11223 of Lecture Notes in Computer Science, page 177-191. Springer, (2018)Generalized Outlier Detection with Flexible Kernel Density Estimates., , and . SDM, page 542-550. SIAM, (2014)