| Beer, Anna (2021): On the edges of clustering: creating synergies with related problems. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics |
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Beer_Anna.pdf 23MB |
DOI: 10.5282/edoc.29405
| Item Type: | Theses (Dissertation, LMU Munich) |
|---|---|
| Subjects: | 000 Computers, Information and General Reference 000 Computers, Information and General Reference > 004 Data processing computer science |
| Faculties: | Faculty of Mathematics, Computer Science and Statistics |
| Language: | English |
| Date of oral examination: | 18. November 2021 |
| 1. Referee: | Seidl, Thomas |
| MD5 Checksum of the PDF-file: | bd990c379f7bd121f67dd21cbe2c6d4a |
| Signature of the printed copy: | 0001/UMC 28632 |
| Footnote: | ©2020 IEEE. Reprinted, with permission, from Daniyal Kazempour, Anna Beer, Peer Kröger, and Thomas Seidl. “I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering". In: 2020 International Conference on Data Mining Workshops (ICDMW). IEEE. 2020, pp. 316-323. DOI: 10.1109/ICDMW51313.2020.00051 ©2021 IEEE. Reprinted, with permission, from Anna Beer, Lisa Stephan, and Thomas Seidl. “LUCKe - Connecting Clustering and Correlation Clustering". In: 2021 International Conference on Data Mining Workshops (ICDMW). IEEE. 2021, pp. 431-440. DOI: 10.1109/ICDMW53433.2021.00059 |
| ID Code: | 29405 |
| Deposited On: | 18. Mar 2022 14:49 |
| Last Modified: | 18. Mar 2022 14:49 |
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