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Anna Beer

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  1. 2022
  2. Published
    SCAR - Spectral Clustering Accelerated and Robustified. / Hohma Ellen.Hohma@Tum.De, Ellen; Frey, Christian M.M.; Beer, Anna et al.
    In: Proceedings of the VLDB Endowment, Vol. 15, No. 11, 07.2022, p. 3031-3044.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Conference article › Research › peer-review

  3. 2021
  4. Published
    Compound Segmentation via Clustering on Mol2Vec-based Embeddings. / Kazempour, Daniyal; Beer, Anna; Oelker, Melanie et al.
    e-Science. IEEE, 2021. p. 60-69.

    Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

  5. Published
    KISS - A fast kNN-based Importance Score for Subspaces. / Beer, Anna; Allerborn, Ekaterina; Hartmann, Valentin et al.
    Proceedings of the 24th International Conference on Extending Database Technology (EDBT). 2021. p. 391-396.

    Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

  6. Published
    LUCKe - Connecting Clustering and Correlation Clustering. / Beer, Anna; Stephan, Lisa; Seidl, Thomas.
    ICDM (Workshops). IEEE, 2021. p. 431-440.

    Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

  7. Published
    On the edges of clustering: Creating synergies with related problems. / Beer, Anna.
    2021.

    Research output: Book/anthology/dissertation/report › Report › Research

  8. 2020
  9. Published
    Angle-Based Clustering. / Beer, Anna; Seeholzer, Dominik; Schüler, Nadine Sarah et al.
    In: Lecture Notes in Computer Science, Vol. 12440, 2020, p. 312-320.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Conference article › Research › peer-review

  10. Published
    Orderings of Data - More Than a Tripping Hazard: Visionary. / Beer, Anna; Hartmann, Valentin; Seidl, Thomas.
    Proceedings of the 32nd International Conference on Scientific and Statistical Database Management (SSDBM). Association for Computing Machinery, Inc, 2020. p. 17:1-17:4.

    Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

  11. 2019
  12. Published
    A Generator for Subspace Clusters. / Beer, Anna; Schüler, Nadine Sarah; Seidl, Thomas.
    A Generator for Subspace Clusters. 2019.

    Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

  13. Published
    Graph Ordering and Clustering: A Circular Approach. / Beer, Anna; Seidl, Thomas.
    In: SSDBM '19, 2019, p. 185-–188.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Conference article › Research › peer-review

  14. Published
    LUCK- Linear Correlation Clustering Using Cluster Algorithms and a KNN Based Distance Function. / Beer, Anna; Kazempour, Daniyal; Stephan, Lisa et al.
    In: SSDBM '19, 2019, p. 181–-184.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Conference article › Research › peer-review

  15. Published
    MORe++: k-Means Based Outlier Removal on High-Dimensional Data. / Beer, Anna; Lauterbach, Jennifer; Seidl, Thomas.
    International Conference on Similarity Search and Applications. 2019. p. 188-202.

    Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review