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Konferenzbeitrag
Leiber, Collin 
ORCID: https://orcid.org/0000-0001-5368-5697; Miklautz, Lukas; Plant, Claudia ORCID: https://orcid.org/0000-0001-5274-8123 und Böhm, Christian ORCID: https://orcid.org/0000-0003-3807-7831
(2023):
Benchmarking Deep Clustering Algorithms With ClustPy.
2023 IEEE International Conference on Data Mining Workshops (ICDMW), Shanghai, China, 01-04 December 2023.
Wang, Jihe; He, Yi; Dinh, Thang N.; Gran, Christan; Qiu, Meikang und Pedrycz, Witold (Hrsg.):
In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW),
Piscataway, NJ: IEEE. S. 625-632
ORCID: https://orcid.org/0000-0001-5368-5697; Miklautz, Lukas; Plant, Claudia ORCID: https://orcid.org/0000-0001-5274-8123 und Böhm, Christian ORCID: https://orcid.org/0000-0003-3807-7831
(2023):
Benchmarking Deep Clustering Algorithms With ClustPy.
2023 IEEE International Conference on Data Mining Workshops (ICDMW), Shanghai, China, 01-04 December 2023.
Wang, Jihe; He, Yi; Dinh, Thang N.; Gran, Christan; Qiu, Meikang und Pedrycz, Witold (Hrsg.):
In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW),
Piscataway, NJ: IEEE. S. 625-632
Leiber, Collin ORCID: https://orcid.org/0000-0001-5368-5697; Miklautz, Lukas ORCID: https://orcid.org/0000-0002-2585-5895; Plant, Claudia ORCID: https://orcid.org/0000-0001-5274-8123 und Böhm, Christian ORCID: https://orcid.org/0000-0002-2237-9969
(2023):
Application of Deep Clustering Algorithms.
CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management, Birmingham, United Kingdom, October 21 - 25, 2023.
ACM International Conference on Information and Knowledge Management (Hrsg.),
In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,
New York, NY, United States: Association for Computing Machinery. S. 5208-5211
[PDF, 1MB]
ORCID: https://orcid.org/0000-0001-5368-5697; Miklautz, Lukas ORCID: https://orcid.org/0000-0002-2585-5895; Plant, Claudia ORCID: https://orcid.org/0000-0001-5274-8123 und Böhm, Christian ORCID: https://orcid.org/0000-0002-2237-9969
(2023):
Application of Deep Clustering Algorithms.
CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management, Birmingham, United Kingdom, October 21 - 25, 2023.
ACM International Conference on Information and Knowledge Management (Hrsg.),
In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,
New York, NY, United States: Association for Computing Machinery. S. 5208-5211
[PDF, 1MB]
Klein, Mauritius; Leiber, Collin ORCID: https://orcid.org/0000-0001-5368-5697 und Böhm, Christian ORCID: https://orcid.org/0000-0002-2237-9969
(2023):
k-SubMix: Common Subspace Clustering on Mixed-Type Data.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, Italy, 18.-22. September 2023.
Koutra, Danai; Plant, Claudia; Gomez Rodriguez, Manuel; Baralis, Elena und Bonchi, Francesco (Hrsg.):
In: Machine Learning and Knowledge Discovery in Databases: Research Track, Lecture Notes in Computer Science
Bd. 14169
Cham: Springer. S. 662-677
ORCID: https://orcid.org/0000-0001-5368-5697 und Böhm, Christian ORCID: https://orcid.org/0000-0002-2237-9969
(2023):
k-SubMix: Common Subspace Clustering on Mixed-Type Data.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, Italy, 18.-22. September 2023.
Koutra, Danai; Plant, Claudia; Gomez Rodriguez, Manuel; Baralis, Elena und Bonchi, Francesco (Hrsg.):
In: Machine Learning and Knowledge Discovery in Databases: Research Track, Lecture Notes in Computer Science
Bd. 14169
Cham: Springer. S. 662-677
Leiber, Collin; Bauer, Lena G. M.; Schelling, Benjamin; Böhm, Christian und Plant, Claudia
(2021):
Dip-based Deep Embedded Clustering with k-Estimation.
KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Singapore, August 14 - 18, 2021.
In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,
New York: ACM. S. 903-913