{"id":"https://openalex.org/W4243634791","doi":"https://doi.org/10.1080/18756891.2010.9727740","title":"Clustering with Instance and Attribute Level Side Information","display_name":"Clustering with Instance and Attribute Level Side Information","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W4243634791","doi":"https://doi.org/10.1080/18756891.2010.9727740"},"language":"en","primary_location":{"id":"doi:10.1080/18756891.2010.9727740","is_oa":true,"landing_page_url":"https://doi.org/10.1080/18756891.2010.9727740","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/18756891.2010.9727740","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100340097","display_name":"Jinlong Wang","orcid":"https://orcid.org/0000-0001-9240-5600"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Wang","raw_affiliation_strings":["School of Computer Engineering, Qingdao Technological University, Qingdao, 266033, China E-mail: wangjinlong@gmail.com; shunyaowu@gmail.com; Medical College of Qingdao University, Qingdao, 266021, China","Medical College of Qingdao University , Qingdao , 266021 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Qingdao Technological University, Qingdao, 266033, China E-mail: wangjinlong@gmail.com; shunyaowu@gmail.com; Medical College of Qingdao University, Qingdao, 266021, China","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I44468530"]},{"raw_affiliation_string":"Medical College of Qingdao University , Qingdao , 266021 , China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070863501","display_name":"Shunyao Wu","orcid":"https://orcid.org/0000-0001-7774-9261"},"institutions":[{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunyao Wu","raw_affiliation_strings":["School of Computer Engineering, Qingdao Technological University, Qingdao, 266033, China E-mail: wangjinlong@gmail.com; shunyaowu@gmail.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Qingdao Technological University, Qingdao, 266033, China E-mail: wangjinlong@gmail.com; shunyaowu@gmail.com","institution_ids":["https://openalex.org/I44468530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100438769","display_name":"Gang Li","orcid":"https://orcid.org/0000-0003-1583-641X"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gang Li","raw_affiliation_strings":["School of Information Technology, Deakin University, Victoria, Australia E-mail: gang.li@deakin.edu.au"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Victoria, Australia E-mail: gang.li@deakin.edu.au","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2090,"currency":"USD","value_usd":2090},"apc_paid":{"value":2090,"currency":"USD","value_usd":2090},"fwci":0.3222,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72787228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":"6","first_page":"770","last_page":"785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9958000183105469,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7646389007568359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7447495460510254},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7122144103050232},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6189649105072021},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6034277677536011},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5172127485275269},{"id":"https://openalex.org/keywords/variable-and-attribute","display_name":"Variable and attribute","score":0.4893431067466736},{"id":"https://openalex.org/keywords/attribute-domain","display_name":"Attribute domain","score":0.4797305166721344},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4401634931564331},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4047783315181732},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38394397497177124},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.13247627019882202}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7646389007568359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7447495460510254},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7122144103050232},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6189649105072021},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6034277677536011},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5172127485275269},{"id":"https://openalex.org/C12692103","wikidata":"https://www.wikidata.org/wiki/Q113312","display_name":"Variable and attribute","level":4,"score":0.4893431067466736},{"id":"https://openalex.org/C75814411","wikidata":"https://www.wikidata.org/wiki/Q4818714","display_name":"Attribute domain","level":3,"score":0.4797305166721344},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4401634931564331},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4047783315181732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38394397497177124},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.13247627019882202},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/18756891.2010.9727740","is_oa":true,"landing_page_url":"https://doi.org/10.1080/18756891.2010.9727740","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/18756891.2010.9727740","is_oa":true,"landing_page_url":"https://doi.org/10.1080/18756891.2010.9727740","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1699061447","https://openalex.org/W1970544520","https://openalex.org/W1974121224","https://openalex.org/W1975746468","https://openalex.org/W1988735952","https://openalex.org/W1992419399","https://openalex.org/W2017074094","https://openalex.org/W2040888993","https://openalex.org/W2047221353","https://openalex.org/W2056766567","https://openalex.org/W2060772621","https://openalex.org/W2062112832","https://openalex.org/W2068487168","https://openalex.org/W2094161173","https://openalex.org/W2103704311","https://openalex.org/W2107667794","https://openalex.org/W2107988499","https://openalex.org/W2124387682","https://openalex.org/W2129066856","https://openalex.org/W2142750046","https://openalex.org/W2143331230","https://openalex.org/W2156305067","https://openalex.org/W2160539527","https://openalex.org/W2319660501","https://openalex.org/W2610360795","https://openalex.org/W2999905431","https://openalex.org/W4231946099","https://openalex.org/W4244167033","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W1482441085","https://openalex.org/W2966858528","https://openalex.org/W2151687600","https://openalex.org/W2362911251","https://openalex.org/W2355009088","https://openalex.org/W2003220380","https://openalex.org/W2361652241","https://openalex.org/W2884866368","https://openalex.org/W2357538651","https://openalex.org/W125606985"],"abstract_inverted_index":{"Selecting":[0],"a":[1,56],"suitable":[2],"proximity":[3],"measure":[4],"is":[5,44],"one":[6],"of":[7,29,40,98],"the":[8,22,27,33,38,62,66,79,96],"fundamental":[9],"tasks":[10],"in":[11,26,37,48,59,87],"clustering.":[12],"How":[13],"to":[14],"effectively":[15],"utilize":[16],"all":[17],"available":[18],"side":[19],"information,":[20],"including":[21],"instance":[23],"level":[24,35],"information":[25,36],"form":[28,39],"pair-wise":[30,63],"constraints,":[31],"and":[32,65,78],"attribute":[34,41,67],"order":[42,68],"preferences,":[43],"an":[45],"essential":[46],"problem":[47],"metric":[49],"learning.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"propose":[55],"learning":[57],"framework":[58],"which":[60],"both":[61],"constraints":[64],"preferences":[69],"can":[70],"be":[71],"incorporated":[72],"simultaneously.":[73],"The":[74],"theory":[75],"behind":[76],"it":[77],"related":[80],"parameter":[81],"adjusting":[82],"technique":[83],"have":[84],"been":[85],"described":[86],"details.":[88],"Experimental":[89],"results":[90],"on":[91],"benchmark":[92],"data":[93],"sets":[94],"demonstrate":[95],"effectiveness":[97],"proposed":[99],"method.":[100]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}