{"id":"https://openalex.org/W2008825816","doi":"https://doi.org/10.1109/robio.2012.6491048","title":"A spectral clustering method combining path with density","display_name":"A spectral clustering method combining path with density","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2008825816","doi":"https://doi.org/10.1109/robio.2012.6491048","mag":"2008825816"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2012.6491048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2012.6491048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101766147","display_name":"Hongwei Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Xu","raw_affiliation_strings":["Guangzhou Institutes of Advanced Technology, Chinese Academy of Sciences, the graduate student of the School of Information Engineering, Guangdong University of Technology, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Institutes of Advanced Technology, Chinese Academy of Sciences, the graduate student of the School of Information Engineering, Guangdong University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101189147","display_name":"Jiafeng He","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiafeng He","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangdong, China","[School of Information Engineering, Guangdong University of Technology, Guangdong, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"[School of Information Engineering, Guangdong University of Technology, Guangdong, China]","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734672","display_name":"Qing He","orcid":"https://orcid.org/0000-0001-8833-5398"},"institutions":[{"id":"https://openalex.org/I4210106808","display_name":"Guangzhou Institute of Advanced Technology","ror":"https://ror.org/01vcw4681","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210106808"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing He","raw_affiliation_strings":["Guangzhou Institutes of Advanced Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Institutes of Advanced Technology","institution_ids":["https://openalex.org/I4210106808"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027969288","display_name":"Dewen Zeng","orcid":"https://orcid.org/0000-0003-0858-8606"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dewen Zeng","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101710236","display_name":"Guan Guan","orcid":"https://orcid.org/0000-0002-0892-9311"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guan Guan","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075323427","display_name":"Bin Leng","orcid":"https://orcid.org/0000-0002-2846-4435"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Leng","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108050911","display_name":"Weimin Zheng","orcid":"https://orcid.org/0000-0002-4450-5428"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Zheng","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.08753831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"695","last_page":"698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9961000084877014,"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":0.9961000084877014,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9685999751091003,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8377828001976013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7371543049812317},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5799318552017212},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.5730004906654358},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5556118488311768},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.5481612086296082},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5137149095535278},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4631957411766052},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4511595666408539},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.44154179096221924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4415067434310913},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.4319482743740082},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.4192489981651306},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3225553631782532},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17772096395492554}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8377828001976013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7371543049812317},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5799318552017212},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.5730004906654358},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5556118488311768},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.5481612086296082},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5137149095535278},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4631957411766052},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4511595666408539},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.44154179096221924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4415067434310913},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.4319482743740082},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.4192489981651306},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3225553631782532},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17772096395492554},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2012.6491048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2012.6491048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1578099820","https://openalex.org/W1587744656","https://openalex.org/W1673310716","https://openalex.org/W1971784203","https://openalex.org/W2033403400","https://openalex.org/W2067191022","https://openalex.org/W2121947440","https://openalex.org/W2127218421","https://openalex.org/W2141465109","https://openalex.org/W2152322845","https://openalex.org/W2163952039","https://openalex.org/W2165874743","https://openalex.org/W2171903410","https://openalex.org/W2319660501","https://openalex.org/W4244030505","https://openalex.org/W6678914141","https://openalex.org/W6680735885","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W3144143113","https://openalex.org/W2491448268","https://openalex.org/W2892323093","https://openalex.org/W4306940721","https://openalex.org/W2181939267","https://openalex.org/W3174322327","https://openalex.org/W2160785859","https://openalex.org/W3120229345","https://openalex.org/W2394193399"],"abstract_inverted_index":{"Clustering":[0],"is":[1,23],"one":[2],"of":[3,7,49,57,75,81,84,103],"the":[4,47,55,73,79,87,100,107,111],"building":[5],"blocks":[6],"modern":[8],"data":[9,15,97],"analysis":[10],"such":[11],"as":[12,92,94],"image":[13],"processing,":[14],"mining,":[16],"and":[17,99],"pattern":[18],"recognition.":[19],"Path-based":[20],"spectral":[21,68],"clustering":[22,69],"an":[24],"important":[25],"approach":[26],"for":[27],"clustering,":[28],"which":[29],"has":[30,41],"delivered":[31],"impressive":[32],"results":[33],"in":[34],"some":[35],"challenging":[36],"tasks.":[37],"However":[38],"this":[39,61,63],"algorithm":[40],"huge":[42],"time":[43,102],"costing":[44],"due":[45],"to":[46,77],"number":[48],"paths":[50,82],"will":[51],"dramatically":[52],"rise":[53],"with":[54],"increase":[56],"dataset":[58,76],"size.":[59],"For":[60],"problem,":[62],"paper":[64],"proposes":[65],"a":[66],"novel":[67],"method":[70,109],"that":[71,106],"utilizes":[72],"density":[74],"limit":[78],"scope":[80],"instead":[83],"finding":[85],"all":[86],"paths.":[88],"Experiments":[89],"on":[90],"synthetic":[91],"well":[93],"real":[95],"world":[96],"sets":[98],"run":[101],"algorithms":[104],"demonstrate":[105],"proposed":[108],"outperforms":[110],"path-based":[112],"algorithm.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}