Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN.
<p>Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , |
| منشور في: |
2024
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1852024251870085120 |
|---|---|
| author | Shahneela Pitafi (20454775) |
| author2 | Toni Anwar (19999011) I Dewa Made Widia (20454778) Zubair Sharif (17767086) Boonsit Yimwadsana (614577) |
| author2_role | author author author author |
| author_facet | Shahneela Pitafi (20454775) Toni Anwar (19999011) I Dewa Made Widia (20454778) Zubair Sharif (17767086) Boonsit Yimwadsana (614577) |
| author_role | author |
| dc.creator.none.fl_str_mv | Shahneela Pitafi (20454775) Toni Anwar (19999011) I Dewa Made Widia (20454778) Zubair Sharif (17767086) Boonsit Yimwadsana (614577) |
| dc.date.none.fl_str_mv | 2024-12-19T18:32:21Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0313890.t004 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Overall_comparison_of_proposed_enhanced_DBSCAN_with_other_variants_of_DBSCAN_/28064488 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified produce similar results precise activity classification manhattan distance formula human activity recognition comparative techniques failed art techniques found based spatial clustering traditional dbscan algorithm proposed model achieved proposed model subsequent clustering model utilizes varying densities trained inceptionv3 societal security silhouette score research enhances research contributes physical locations minimal points intrusions around handling high future researchers feature extraction existing density epsilon values enhanced dbscan dimensionality reduction dimensional data determined using detection accuracy analysis reveals |
| dc.title.none.fl_str_mv | Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_fff0daa7315cdfdaf274754106652239 |
| identifier_str_mv | 10.1371/journal.pone.0313890.t004 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28064488 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN.Shahneela Pitafi (20454775)Toni Anwar (19999011)I Dewa Made Widia (20454778)Zubair Sharif (17767086)Boonsit Yimwadsana (614577)Science PolicySpace ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedproduce similar resultsprecise activity classificationmanhattan distance formulahuman activity recognitioncomparative techniques failedart techniques foundbased spatial clusteringtraditional dbscan algorithmproposed model achievedproposed modelsubsequent clusteringmodel utilizesvarying densitiestrained inceptionv3societal securitysilhouette scoreresearch enhancesresearch contributesphysical locationsminimal pointsintrusions aroundhandling highfuture researchersfeature extractionexisting densityepsilon valuesenhanced dbscandimensionality reductiondimensional datadetermined usingdetection accuracyanalysis reveals<p>Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN.</p>2024-12-19T18:32:21ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0313890.t004https://figshare.com/articles/dataset/Overall_comparison_of_proposed_enhanced_DBSCAN_with_other_variants_of_DBSCAN_/28064488CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/280644882024-12-19T18:32:21Z |
| spellingShingle | Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN. Shahneela Pitafi (20454775) Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified produce similar results precise activity classification manhattan distance formula human activity recognition comparative techniques failed art techniques found based spatial clustering traditional dbscan algorithm proposed model achieved proposed model subsequent clustering model utilizes varying densities trained inceptionv3 societal security silhouette score research enhances research contributes physical locations minimal points intrusions around handling high future researchers feature extraction existing density epsilon values enhanced dbscan dimensionality reduction dimensional data determined using detection accuracy analysis reveals |
| status_str | publishedVersion |
| title | Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN. |
| title_full | Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN. |
| title_fullStr | Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN. |
| title_full_unstemmed | Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN. |
| title_short | Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN. |
| title_sort | Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN. |
| topic | Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified produce similar results precise activity classification manhattan distance formula human activity recognition comparative techniques failed art techniques found based spatial clustering traditional dbscan algorithm proposed model achieved proposed model subsequent clustering model utilizes varying densities trained inceptionv3 societal security silhouette score research enhances research contributes physical locations minimal points intrusions around handling high future researchers feature extraction existing density epsilon values enhanced dbscan dimensionality reduction dimensional data determined using detection accuracy analysis reveals |