Comparison of the F1-score of the datasets between each algorithm.
<p>Comparison of the F1-score of the datasets between each algorithm.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , |
| منشور في: |
2024
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| الموضوعات: | |
| الوسوم: |
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| _version_ | 1852024174145437696 |
|---|---|
| author | Yongan Feng (7345193) |
| author2 | Jiapeng Zou (20469071) Wanjun Liu (637552) Fu Lv (17708560) |
| author2_role | author author author |
| author_facet | Yongan Feng (7345193) Jiapeng Zou (20469071) Wanjun Liu (637552) Fu Lv (17708560) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yongan Feng (7345193) Jiapeng Zou (20469071) Wanjun Liu (637552) Fu Lv (17708560) |
| dc.date.none.fl_str_mv | 2024-12-23T18:26:05Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0308993.t006 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Comparison_of_the_F1-score_of_the_datasets_between_each_algorithm_/28084076 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified reduce computation time experimental results show directed acyclic graph enhancing clustering accuracy best initial centers improved clustering performance means algorithm based initial centers clustering process improved k performance issues optimize performance xlink "> weighted max weighted jump spark optimization spark framework reduces sensitivity performed using overall efficiency min distance means incorporates means algorithm massive datasets jump pointers iteration process incorporating weights identify clusters farther apart distributed strategies distributed k classical k calculate distances bank approach approach improves |
| dc.title.none.fl_str_mv | Comparison of the F1-score of the datasets between each algorithm. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Comparison of the F1-score of the datasets between each algorithm.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_8b4bf790bd65cd4c1128b2e01d101df7 |
| identifier_str_mv | 10.1371/journal.pone.0308993.t006 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28084076 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Comparison of the F1-score of the datasets between each algorithm.Yongan Feng (7345193)Jiapeng Zou (20469071)Wanjun Liu (637552)Fu Lv (17708560)Space ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedreduce computation timeexperimental results showdirected acyclic graphenhancing clustering accuracybest initial centersimproved clustering performancemeans algorithm basedinitial centersclustering processimproved kperformance issuesoptimize performancexlink ">weighted maxweighted jumpspark optimizationspark frameworkreduces sensitivityperformed usingoverall efficiencymin distancemeans incorporatesmeans algorithmmassive datasetsjump pointersiteration processincorporating weightsidentify clustersfarther apartdistributed strategiesdistributed kclassical kcalculate distancesbank approachapproach improves<p>Comparison of the F1-score of the datasets between each algorithm.</p>2024-12-23T18:26:05ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0308993.t006https://figshare.com/articles/dataset/Comparison_of_the_F1-score_of_the_datasets_between_each_algorithm_/28084076CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/280840762024-12-23T18:26:05Z |
| spellingShingle | Comparison of the F1-score of the datasets between each algorithm. Yongan Feng (7345193) Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified reduce computation time experimental results show directed acyclic graph enhancing clustering accuracy best initial centers improved clustering performance means algorithm based initial centers clustering process improved k performance issues optimize performance xlink "> weighted max weighted jump spark optimization spark framework reduces sensitivity performed using overall efficiency min distance means incorporates means algorithm massive datasets jump pointers iteration process incorporating weights identify clusters farther apart distributed strategies distributed k classical k calculate distances bank approach approach improves |
| status_str | publishedVersion |
| title | Comparison of the F1-score of the datasets between each algorithm. |
| title_full | Comparison of the F1-score of the datasets between each algorithm. |
| title_fullStr | Comparison of the F1-score of the datasets between each algorithm. |
| title_full_unstemmed | Comparison of the F1-score of the datasets between each algorithm. |
| title_short | Comparison of the F1-score of the datasets between each algorithm. |
| title_sort | Comparison of the F1-score of the datasets between each algorithm. |
| topic | Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified reduce computation time experimental results show directed acyclic graph enhancing clustering accuracy best initial centers improved clustering performance means algorithm based initial centers clustering process improved k performance issues optimize performance xlink "> weighted max weighted jump spark optimization spark framework reduces sensitivity performed using overall efficiency min distance means incorporates means algorithm massive datasets jump pointers iteration process incorporating weights identify clusters farther apart distributed strategies distributed k classical k calculate distances bank approach approach improves |