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20212024

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  • Data with Density-Based Clusters : A Generator for Systematic Evaluation of Clustering Algorithms

    Jahn, P., Frey, C. M. M., Beer, A., Leiber, C. & Seidl, T., Sept 2024, Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Proceedings. Bifet, A., Davis, J., Krilavičius, T., Kull, M., Ntoutsi, E. & Žliobaitė, I. (eds.). Springer, p. 3-21 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14947 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

  • Application of Deep Clustering Algorithms

    Leiber, C., Plant, C., Miklautz, L. & Böhm, C., 21 Oct 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. ACM, p. 5208-5211 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
  • Benchmarking Deep Clustering Algorithms With ClustPy

    Leiber, C., Miklautz, L., Plant, C. & Bohm, C., 2023, Proceedings - 23rd IEEE International Conference on Data Mining Workshops, ICDMW 2023. Wang, J., He, Y., Dinh, T. N., Grant, C., Qiu, M. & Pedrycz, W. (eds.). IEEE, p. 625-632 8 p. (IEEE International Conference on Data Mining Workshops, ICDMW).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    2 Citations (Scopus)
  • Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering

    Bauer, L. G. M., Leiber, C., Böhm, C. & Plant, C., 2023, 2023 SIAM International Conference on Data Mining, SDM 2023. Society for Industrial and Applied Mathematics, p. 109-117 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    3 Citations (Scopus)
  • k-SubMix : Common Subspace Clustering on Mixed-Type Data

    Klein, M., Leiber, C. & Böhm, C., 2023, Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Proceedings. Koutra, D., Plant, C., Gomez Rodriguez, M., Baralis, E. & Bonchi, F. (eds.). Springer, p. 662-677 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14169 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review