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antiSMASH 2.0 - a versatile platform for genome mining of secondary metabolite producers.

, , , , , , and . Nucleic Acids Research, 41 (Webserver-Issue): 204-212 (2013)

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Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data., , and . HCI (34), volume 1033 of Communications in Computer and Information Science, page 184-189. Springer, (2019)On systematic hyperparameter analysis through the example of subspace clustering., and . SSDBM, page 226-229. ACM, (2019)SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge., , , and . SISAP, volume 11807 of Lecture Notes in Computer Science, page 221-230. Springer, (2019)DICE: Density-based Interactive Clustering and Exploration., , , and . BTW, volume P-289 of LNI, page 547-550. Gesellschaft für Informatik, Bonn, (2019)From Covariance to Comode in context of Principal Component Analysis., , and . LWDA, volume 2454 of CEUR Workshop Proceedings, page 139-143. CEUR-WS.org, (2019)Mirror Mirror on the Wall, What is the Fairest Linear Parameter Space Representation of All? On Representations of Linear Parameter Space in Context of Clustering., , , and . LWDA, volume 2191 of CEUR Workshop Proceedings, page 169-173. CEUR-WS.org, (2018)Identifying Entangled Data Points on Iteration Trajectories of Clusterings., and . LWDA, volume 2191 of CEUR Workshop Proceedings, page 174-178. CEUR-WS.org, (2018)antiSMASH 2.0 - a versatile platform for genome mining of secondary metabolite producers., , , , , , and . Nucleic Acids Research, 41 (Webserver-Issue): 204-212 (2013)LUCK- Linear Correlation Clustering Using Cluster Algorithms and a kNN based Distance Function., , , and . SSDBM, page 181-184. ACM, (2019)Detecting Global Hyperparaboloid Correlated Clusters Based on Hough Transform., , , and . SSDBM, page 31:1-31:6. ACM, (2017)