{"id":"https://openalex.org/W4412103118","doi":"https://doi.org/10.1177/24518492251349080","title":"Enhanced Stratified Sampling-Density-Based Spatial Clustering of Applications With Noise (SS-DBSCAN) for High-Dimensional Data","display_name":"Enhanced Stratified Sampling-Density-Based Spatial Clustering of Applications With Noise (SS-DBSCAN) for High-Dimensional Data","publication_year":2025,"publication_date":"2025-07-07","ids":{"openalex":"https://openalex.org/W4412103118","doi":"https://doi.org/10.1177/24518492251349080"},"language":"en","primary_location":{"id":"doi:10.1177/24518492251349080","is_oa":true,"landing_page_url":"https://doi.org/10.1177/24518492251349080","pdf_url":null,"source":{"id":"https://openalex.org/S4210178722","display_name":"Data Science","issn_l":"2451-8484","issn":["2451-8484","2451-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1177/24518492251349080","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050138972","display_name":"Gloriana Joseph Monko","orcid":"https://orcid.org/0000-0003-2414-5004"},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Gloriana Monko","raw_affiliation_strings":["Department of Functional Control Systems, Shibaura Institute of Technology, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-2414-5004","affiliations":[{"raw_affiliation_string":"Department of Functional Control Systems, Shibaura Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068513079","display_name":"Masaomi Kimura","orcid":"https://orcid.org/0000-0003-3991-4259"},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaomi Kimura","raw_affiliation_strings":["School of Engineering, Shibaura Institute of Technology, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3991-4259","affiliations":[{"raw_affiliation_string":"School of Engineering, Shibaura Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I171481255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050138972"],"corresponding_institution_ids":["https://openalex.org/I171481255"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0576331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.9074949026107788},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6927154660224915},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5763940811157227},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5610003471374512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.544170081615448},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4597243666648865},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42961469292640686},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.383093923330307},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3200884461402893},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29833483695983887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27099519968032837},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.11541014909744263},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.10591962933540344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.082151859998703},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0690779983997345}],"concepts":[{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.9074949026107788},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6927154660224915},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5763940811157227},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5610003471374512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.544170081615448},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4597243666648865},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42961469292640686},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.383093923330307},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3200884461402893},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29833483695983887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27099519968032837},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.11541014909744263},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.10591962933540344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.082151859998703},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0690779983997345},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1177/24518492251349080","is_oa":true,"landing_page_url":"https://doi.org/10.1177/24518492251349080","pdf_url":null,"source":{"id":"https://openalex.org/S4210178722","display_name":"Data Science","issn_l":"2451-8484","issn":["2451-8484","2451-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6a1fa90e90f4435098feb09aa1506d60","is_oa":true,"landing_page_url":"https://doaj.org/article/6a1fa90e90f4435098feb09aa1506d60","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science, Vol 8 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1177/24518492251349080","is_oa":true,"landing_page_url":"https://doi.org/10.1177/24518492251349080","pdf_url":null,"source":{"id":"https://openalex.org/S4210178722","display_name":"Data Science","issn_l":"2451-8484","issn":["2451-8484","2451-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W90732934","https://openalex.org/W1633682760","https://openalex.org/W1673310716","https://openalex.org/W1987971958","https://openalex.org/W1990063233","https://openalex.org/W1998354318","https://openalex.org/W2014869513","https://openalex.org/W2015887370","https://openalex.org/W2074423877","https://openalex.org/W2092799168","https://openalex.org/W2110020117","https://openalex.org/W2113586398","https://openalex.org/W2118661197","https://openalex.org/W2122966699","https://openalex.org/W2126751256","https://openalex.org/W2128728535","https://openalex.org/W2160642098","https://openalex.org/W2295079358","https://openalex.org/W2333322610","https://openalex.org/W2409154825","https://openalex.org/W2538524215","https://openalex.org/W2740924709","https://openalex.org/W2786672974","https://openalex.org/W2890799778","https://openalex.org/W2901354261","https://openalex.org/W2943491685","https://openalex.org/W2966681114","https://openalex.org/W2970641574","https://openalex.org/W3006505613","https://openalex.org/W3047231538","https://openalex.org/W3082031608","https://openalex.org/W3105289658","https://openalex.org/W3187536395","https://openalex.org/W3210346861","https://openalex.org/W4244985291","https://openalex.org/W4288083420","https://openalex.org/W4388809189","https://openalex.org/W4391157700","https://openalex.org/W4391614156","https://openalex.org/W4392668888","https://openalex.org/W4393836862","https://openalex.org/W4399876663","https://openalex.org/W4402401334","https://openalex.org/W6885098286"],"related_works":["https://openalex.org/W3163639875","https://openalex.org/W2364999035","https://openalex.org/W4226497289","https://openalex.org/W2966681114","https://openalex.org/W4386078164","https://openalex.org/W3176449234","https://openalex.org/W2767235736","https://openalex.org/W2045002201","https://openalex.org/W4225278791","https://openalex.org/W4322502698"],"abstract_inverted_index":{"This":[0,104],"research":[1,171],"introduces":[2],"an":[3],"enhanced":[4],"stratified":[5],"sampling-density-based":[6],"spatial":[7,129],"clustering":[8,19,40,130,144,163],"of":[9,56,101,131],"applications":[10,132],"with":[11,133],"noise":[12,134],"(SS-DBSCAN),":[13],"a":[14,47,77,87,183],"scalable":[15],"and":[16,27,42,91,138,151,175],"robust":[17],"density-based":[18,128],"algorithm":[20,32],"designed":[21],"to":[22,38,127,141,160,177],"tackle":[23],"challenges":[24],"in":[25],"high-dimensional":[26],"complex":[28,189],"data":[29,179],"analysis.":[30],"The":[31,155],"integrates":[33],"advanced":[34],"parameter":[35,65],"optimization":[36],"techniques":[37],"improve":[39],"accuracy":[41],"interpretability.":[43],"Key":[44],"innovations":[45],"include":[46],"fast":[48],"grid":[49],"search":[50,55],"method":[51],"for":[52,186],"optimizing":[53],"the":[54,63,72,93,98,112,143],"optimal":[57,107],"minimum":[58],"points":[59,140],"(MinPts)":[60],"by":[61,82,148],"keeping":[62],"\u03f5":[64,89],"obtained":[66],"constant.":[67],"Notably,":[68],"this":[69],"study":[70],"emphasizes":[71],"often-overlooked":[73],"MinPts":[74,94,108],"parameter,":[75],"introducing":[76],"dynamic":[78],"approach":[79,105],"that":[80],"initiates":[81],"calculating":[83],"density":[84],"metrics":[85],"within":[86],"specified":[88],"distance":[90],"adjusting":[92],"range":[95],"based":[96,110],"on":[97,111,118],"standard":[99],"deviation":[100],"these":[102],"metrics.":[103],"identifies":[106],"values":[109],"maximum":[113],"allowed":[114],"range.":[115],"Comprehensive":[116],"experiments":[117],"five":[119],"real-world":[120],"datasets":[121],"demonstrate":[122],"SS-DBSCAN\u2019s":[123,158,173],"superior":[124],"performance":[125],"compared":[126],"(DBSCAN),":[135],"hierarchical":[136],"DBSCAN,":[137],"ordering":[139],"identify":[142],"structure":[145],"(OPTICS),":[146],"evidenced":[147],"higher":[149],"silhouette":[150],"Davies\u2013Bouldin":[152],"index":[153],"scores.":[154],"results":[156],"highlight":[157],"ability":[159],"capture":[161],"intrinsic":[162],"structures":[164],"accurately,":[165],"providing":[166],"deeper":[167],"insights":[168],"across":[169],"various":[170],"domains.":[172],"scalability":[174],"adaptability":[176],"diverse":[178],"densities":[180],"make":[181],"it":[182],"valuable":[184],"tool":[185],"analyzing":[187],"large,":[188],"datasets.":[190]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}