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significant clusters » significant cause (Expand Search), significant changes (Expand Search), significant factors (Expand Search)
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Showing 1 - 20 results of 28,141 for search '(( significant clusters based ) OR ( significant mean decrease ))', query time: 0.79s Refine Results
  1. 1
    Clustering using the unweighted pair group method with arithmetic mean (UPGMA).

    Clustering using the unweighted pair group method with arithmetic mean (UPGMA). by Nguyen Thi Hai (12700147)

    Published 2022
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  2. 2
    Ship polling path based on K-mean-GA algorithm and GA algorithm.

    Ship polling path based on K-mean-GA algorithm and GA algorithm. by Zhongbo Peng (16884034)

    Published 2024
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  3. 3
    Significant differences between clusters on importance.

    Significant differences between clusters on importance. by Padraic Rocliffe (16436723)

    Published 2023
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  4. 4
    Significant differences between clusters on modifiability.

    Significant differences between clusters on modifiability. by Padraic Rocliffe (16436723)

    Published 2023
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  5. 5
    Iterative optimization process of 100 inspection costs based on K-mean-GA algorithm and GA algorithm.

    Iterative optimization process of 100 inspection costs based on K-mean-GA algorithm and GA algorithm. by Zhongbo Peng (16884034)

    Published 2024
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  6. 6
    Local spatial autocorrelation analysis of the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.cn/ngcc/ with credit to National Geomatics Center of China.

    Local spatial autocorrelation analysis of the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.... by Jiaxin Feng (4926844)

    Published 2023
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  7. 7
    Central and discrete trend changes for the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.cn/ngcc/ with credit to National Geomatics Center of China.

    Central and discrete trend changes for the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.cn/... by Jiaxin Feng (4926844)

    Published 2023
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  8. 8
    Significant spatial clusters of TB in Zimbabwe based on maximum reported cluster size from 2015–2018.

    Significant spatial clusters of TB in Zimbabwe based on maximum reported cluster size from 2015–2018. by Isaiah Gwitira (8741610)

    Published 2021
    “…<p>Significant spatial clusters of TB in Zimbabwe based on maximum reported cluster size from 2015–2018.…”
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  9. 9
    Significant anchors for each cluster: Peru and Colombia.

    Significant anchors for each cluster: Peru and Colombia. by Jorge Sánchez-Garcés (14341342)

    Published 2023
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  10. 10
    Significant activation clusters from the contrasts of FSL.

    Significant activation clusters from the contrasts of FSL. by Christos Chatzichristos (9073258)

    Published 2020
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  11. 11
    Significant activation clusters from the contrasts of BTD.

    Significant activation clusters from the contrasts of BTD. by Christos Chatzichristos (9073258)

    Published 2020
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  12. 12
    Significant clusters revealed for AD using FSL’s cluster tool.

    Significant clusters revealed for AD using FSL’s cluster tool. by Lindsey T. Thurston (13135554)

    Published 2024
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  13. 13
    List of clusters and significant functional classifications.

    List of clusters and significant functional classifications. by Gunalan Natesan (17675364)

    Published 2023
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  14. 14
    Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease)).

    Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (sign... by Mobina Faqani (22783963)

    Published 2025
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  15. 15
    Significant variables in decreasing importance for varietal clustering based on Random forest method.

    Significant variables in decreasing importance for varietal clustering based on Random forest method. by Wilfried Chevalier (10521466)

    Published 2021
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  16. 16
    Consensus clustering of epilepsy patients based on significant m7G regulators.

    Consensus clustering of epilepsy patients based on significant m7G regulators. by Jiangli Zhao (2308330)

    Published 2025
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  17. 17
    Clustering-based metaheuristic.

    Clustering-based metaheuristic. by Almiqdad Elzein (13141038)

    Published 2022
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  18. 18
    Different number of clusters (of significant time bins) tested.

    Different number of clusters (of significant time bins) tested. by András Ecker (18137289)

    Published 2024
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  19. 19
    Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease).

    Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “... by Mobina Faqani (22783963)

    Published 2025
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  20. 20
    Significant activation clusters from the analysis using BTD.

    Significant activation clusters from the analysis using BTD. by Christos Chatzichristos (9073258)

    Published 2020
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