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HACAM: Hierarchical Agglomerative Clustering Around Medoids - and its Limitations.

. LWDA, volume 2993 of CEUR Workshop Proceedings, page 191-204. CEUR-WS.org, (2021)

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On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study., , , , , , , and . Data Min. Knowl. Discov., 30 (4): 891-927 (2016)Fast k-medoids Clustering in Rust and Python., and . J. Open Source Softw., 7 (75): 4183 (2022)Visual Evaluation of Outlier Detection Models., , , , , and . DASFAA (2), volume 5982 of Lecture Notes in Computer Science, page 396-399. Springer, (2010)Evaluation of Multiple Clustering Solutions., , and . MultiClust@ECML/PKDD, volume 772 of CEUR Workshop Proceedings, page 55-66. CEUR-WS.org, (2011)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)Numerically stable parallel computation of (co-)variance., and . SSDBM, page 10:1-10:12. ACM, (2018)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)On Projections to Linear Subspaces., and . CoRR, (2022)Medoid Silhouette clustering with automatic cluster number selection., and . CoRR, (2023)