{"id":"https://openalex.org/W2994176602","doi":"https://doi.org/10.1109/mfi49285.2020.9235263","title":"A Hybrid Approach To Hierarchical Density-based Cluster Selection","display_name":"A Hybrid Approach To Hierarchical Density-based Cluster Selection","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W2994176602","doi":"https://doi.org/10.1109/mfi49285.2020.9235263","mag":"2994176602"},"language":"en","primary_location":{"id":"doi:10.1109/mfi49285.2020.9235263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi49285.2020.9235263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.02282","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Claudia Malzer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088711","display_name":"Max Planck Institute for Dynamics and Self-Organization","ror":"https://ror.org/0087djs12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210088711"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Claudia Malzer","raw_affiliation_strings":["HAWK Hochschule fUr angewandte Wissenschaft und Kunst, Data Fusion Group at University of Gottingen; and Max Planck Institute for Dynamics and Self-Organization in G\u00f6ttingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HAWK Hochschule fUr angewandte Wissenschaft und Kunst, Data Fusion Group at University of Gottingen; and Max Planck Institute for Dynamics and Self-Organization in G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I4210088711"]}]},{"author_position":"last","author":{"id":null,"display_name":"Marcus Baum","orcid":null},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]},{"id":"https://openalex.org/I4210149442","display_name":"Fusion Academy","ror":"https://ror.org/05rwjyj14","country_code":"US","type":"education","lineage":["https://openalex.org/I4210149442"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Marcus Baum","raw_affiliation_strings":["Data Fusion Group, University of G\u00f6ttingen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Fusion Group, University of G\u00f6ttingen","institution_ids":["https://openalex.org/I74656192","https://openalex.org/I4210149442"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210088711"],"apc_list":null,"apc_paid":null,"fwci":7.3383,"has_fulltext":false,"cited_by_count":145,"citation_normalized_percentile":{"value":0.97685085,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"223","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9962999820709229,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7070000171661377},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.6610999703407288},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.6571000218391418},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5493999719619751},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5273000001907349},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5127000212669373},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5073000192642212},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4984000027179718}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7070000171661377},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.6610999703407288},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.6571000218391418},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.623199999332428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5555999875068665},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5493999719619751},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5273000001907349},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5127000212669373},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5073000192642212},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4984000027179718},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.43320000171661377},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.3817000091075897},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.36489999294281006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35850000381469727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3215999901294708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30880001187324524},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.2806999981403351},{"id":"https://openalex.org/C82261393","wikidata":"https://www.wikidata.org/wiki/Q17038699","display_name":"Hierarchical clustering of networks","level":5,"score":0.27140000462532043},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.25780001282691956}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mfi49285.2020.9235263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi49285.2020.9235263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1911.02282","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.02282","pdf_url":"https://arxiv.org/pdf/1911.02282","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:publications.goettingen-research-online.de:2/135630","is_oa":true,"landing_page_url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/135630","pdf_url":null,"source":{"id":"https://openalex.org/S4306401634","display_name":"GoeScholar  The Publication Server of the Georg-August-Universit\u00e4t G\u00f6ttingen (Georg-August-Universit\u00e4t G\u00f6ttingen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210122495","host_organization_name":"Asklepios Klinik St. Georg","host_organization_lineage":["https://openalex.org/I4210122495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.02282","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.02282","pdf_url":"https://arxiv.org/pdf/1911.02282","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W151377110","https://openalex.org/W1987111416","https://openalex.org/W2007077266","https://openalex.org/W2079040080","https://openalex.org/W2093328450","https://openalex.org/W2104736343","https://openalex.org/W2165835468","https://openalex.org/W2247927564","https://openalex.org/W2464278975","https://openalex.org/W2588264283","https://openalex.org/W2601243251","https://openalex.org/W2619824656","https://openalex.org/W2999968951","https://openalex.org/W4237407686","https://openalex.org/W4247105055","https://openalex.org/W6675354045","https://openalex.org/W6730713231","https://openalex.org/W6760782946"],"related_works":[],"abstract_inverted_index":{"HDBSCAN":[0,44,119],"is":[1,64],"a":[2,8,15,39,71],"density-based":[3],"clustering":[4,55],"algorithm":[5],"that":[6],"constructs":[7],"cluster":[9,74,97],"hierarchy":[10,107],"tree":[11,95],"and":[12,43,46,99],"then":[13],"uses":[14],"specific":[16],"stability":[17],"measure":[18],"to":[19,78,93,105,117],"extract":[20],"flat":[21],"clusters":[22],"from":[23],"the":[24,29,106],"tree.":[25],"We":[26],"show":[27],"how":[28],"application":[30],"of":[31,41,50,57,82,96],"an":[32,80,115],"additional":[33],"threshold":[34],"value":[35],"can":[36,89,110],"result":[37],"in":[38,66,84],"combination":[40],"DBSCAN*":[42],"clusters,":[45],"demonstrate":[47],"potential":[48],"benefits":[49],"this":[51],"hybrid":[52],"approach":[53,63],"when":[54],"data":[56],"variable":[58],"densities.":[59],"In":[60],"particular,":[61],"our":[62],"useful":[65],"scenarios":[67],"where":[68],"we":[69],"require":[70,102],"low":[72],"minimum":[73],"size":[75],"but":[76],"want":[77],"avoid":[79],"abundance":[81],"micro-clusters":[83],"high-density":[85],"regions.":[86],"The":[87],"method":[88],"directly":[90],"be":[91,112],"applied":[92],"HDBSCAN's":[94],"candidates":[98],"does":[100],"not":[101],"any":[103],"modifications":[104],"itself.":[108],"It":[109],"easily":[111],"integrated":[113],"as":[114],"addition":[116],"existing":[118],"implementations.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":49},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2019-12-13T00:00:00"}
