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Showing 21 - 40 results of 41 for search '(("element modeling algorithm") OR ("different clustering algorithm"))', query time: 0.17s Refine Results
  1. 21
    Influence of Shape Parameters on the Compressive Performance of the Specimens.

    Influence of Shape Parameters on the Compressive Performance of the Specimens. by Nan Ru (9594384)

    Published 2025
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  2. 22
    Schematic diagram of the extension of vertices of large and small polygons.

    Schematic diagram of the extension of vertices of large and small polygons. by Nan Ru (9594384)

    Published 2025
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  3. 23
    Specimen for the splitting test.

    Specimen for the splitting test. by Nan Ru (9594384)

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  4. 24
    The influence of angularity on the splitting resistance performance of the specimens.

    The influence of angularity on the splitting resistance performance of the specimens. by Nan Ru (9594384)

    Published 2025
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  5. 25
    Example Diagram.

    Example Diagram. by Nan Ru (9594384)

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  6. 26
    Influence of Shape Parameters on the Splitting Resistance Performance of the Specimens.

    Influence of Shape Parameters on the Splitting Resistance Performance of the Specimens. by Nan Ru (9594384)

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  7. 27
    Aggregate Measurement Image in IPP.

    Aggregate Measurement Image in IPP. by Nan Ru (9594384)

    Published 2025
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  8. 28
    Influence of the Roundness Ratio on the Compressive Performance of the Specimens.

    Influence of the Roundness Ratio on the Compressive Performance of the Specimens. by Nan Ru (9594384)

    Published 2025
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  9. 29
    Internal changes of the specimen of 0.89 to 1.

    Internal changes of the specimen of 0.89 to 1. by Nan Ru (9594384)

    Published 2025
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  10. 30
    AMI, ARI and NMI accuracy on two real-world networks.

    AMI, ARI and NMI accuracy on two real-world networks. by Yasamin Tabatabaee (18095491)

    Published 2025
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  11. 31
    Experiment 2: Evaluating modularity-based consensus clustering pipelines on synthetic networks based on clustered real-world networks.

    Experiment 2: Evaluating modularity-based consensus clustering pipelines on synthetic networks based on clustered real-world networks. by Yasamin Tabatabaee (18095491)

    Published 2025
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  12. 32
    Experiment 4: Accuracy of modularity-based consensus clustering methods on ring-of-cliques networks of varying sizes.

    Experiment 4: Accuracy of modularity-based consensus clustering methods on ring-of-cliques networks of varying sizes. by Yasamin Tabatabaee (18095491)

    Published 2025
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  13. 33
    Experiment 4: Evaluating modularity-based clustering methods on tree-of-cliques networks.

    Experiment 4: Evaluating modularity-based clustering methods on tree-of-cliques networks. by Yasamin Tabatabaee (18095491)

    Published 2025
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  14. 34
    List of abbreviations.

    List of abbreviations. by Yasamin Tabatabaee (18095491)

    Published 2025
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  15. 35
    Evaluating stability across multiple stochastic runs on the algorithm design datasets.

    Evaluating stability across multiple stochastic runs on the algorithm design datasets. by Yasamin Tabatabaee (18095491)

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  16. 36
    Experiment 3: Comparison of FastEnsemble(Leiden-CPM) and Leiden-CPM on synthetic networks based on clustered real-world networks.

    Experiment 3: Comparison of FastEnsemble(Leiden-CPM) and Leiden-CPM on synthetic networks based on clustered real-world networks. by Yasamin Tabatabaee (18095491)

    Published 2025
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  17. 37
    Empirical statistics of the networks used in this study.

    Empirical statistics of the networks used in this study. by Yasamin Tabatabaee (18095491)

    Published 2025
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  18. 38
    Experiment 1a: Setting the default value for t in FastEnsemble.

    Experiment 1a: Setting the default value for t in FastEnsemble. by Yasamin Tabatabaee (18095491)

    Published 2025
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  19. 39
    Experiment 5: Clustering networks that are only partially clusterable.

    Experiment 5: Clustering networks that are only partially clusterable. by Yasamin Tabatabaee (18095491)

    Published 2025
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  20. 40
    Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter.

    Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. by Yasamin Tabatabaee (18095491)

    Published 2025
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