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Eine Ebene höherGruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 2
2023
Beer, Anna 
ORCID: https://orcid.org/0000-0002-6890-997X; Draganov, Andrew ORCID: https://orcid.org/0000-0002-1617-4166; Hohma, Ellen ORCID: https://orcid.org/0000-0002-5235-6856; Jahn, Philipp ORCID: https://orcid.org/0009-0002-0059-9183; Frey, Christian M.M. ORCID: https://orcid.org/0000-0003-2458-6651 und Assent, Ira ORCID: https://orcid.org/0000-0002-1091-9948
(2023):
Connecting the Dots -- Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering.
29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Long Beach, CA, 06. - 10. August 2023.
Singh, Ambuj (Hrsg.):
In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
New York: Association for Computing Machinery. S. 80-92
[PDF, 2MB]
ORCID: https://orcid.org/0000-0002-6890-997X; Draganov, Andrew ORCID: https://orcid.org/0000-0002-1617-4166; Hohma, Ellen ORCID: https://orcid.org/0000-0002-5235-6856; Jahn, Philipp ORCID: https://orcid.org/0009-0002-0059-9183; Frey, Christian M.M. ORCID: https://orcid.org/0000-0003-2458-6651 und Assent, Ira ORCID: https://orcid.org/0000-0002-1091-9948
(2023):
Connecting the Dots -- Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering.
29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Long Beach, CA, 06. - 10. August 2023.
Singh, Ambuj (Hrsg.):
In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
New York: Association for Computing Machinery. S. 80-92
[PDF, 2MB]
2022
Gilhuber, Sandra; Jahn, Philipp; Ma, Yunpu und Seidl, Thomas
(2022):
VERIPS: Verified Pseudo-label Selection for Deep Active Learning.
2022 IEEE International Conference on Data Mining (ICDM), Orlando, FL, USA, 28 November 2022 - 01 December 2022.
In: 2022 IEEE International Conference on Data Mining (ICDM),
S. 951-956