{"id":"https://openalex.org/W4403390515","doi":"https://doi.org/10.1109/tnnls.2024.3473618","title":"CDC: A Simple Framework for Complex Data Clustering","display_name":"CDC: A Simple Framework for Complex Data Clustering","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4403390515","doi":"https://doi.org/10.1109/tnnls.2024.3473618","pmid":"https://pubmed.ncbi.nlm.nih.gov/39401105"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3473618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3473618","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5052459660","display_name":"Zhao Kang","orcid":"https://orcid.org/0000-0003-4103-0954"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Kang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4103-0954","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014411465","display_name":"Xuanting Xie","orcid":"https://orcid.org/0000-0003-3801-5876"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanting Xie","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3801-5876","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054904240","display_name":"Bingheng Li","orcid":"https://orcid.org/0009-0000-0950-9012"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingheng Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042531061","display_name":"Erlin Pan","orcid":"https://orcid.org/0000-0001-8343-8822"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Erlin Pan","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-8343-8822","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.4116,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.99394554,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"36","issue":"7","first_page":"13177","last_page":"13188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.7182999849319458,"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":0.7182999849319458,"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/simple","display_name":"Simple (philosophy)","score":0.7565529346466064},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6351152658462524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6338050365447998},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37867897748947144},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36123383045196533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2857089340686798},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.0788852870464325}],"concepts":[{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.7565529346466064},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6351152658462524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6338050365447998},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37867897748947144},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36123383045196533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2857089340686798},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0788852870464325},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3473618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3473618","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:39401105","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39401105","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1652220931","display_name":null,"funder_award_id":"62276053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W2590019597","https://openalex.org/W2809299793","https://openalex.org/W2896169497","https://openalex.org/W2904965361","https://openalex.org/W2962756421","https://openalex.org/W2964732194","https://openalex.org/W2965174731","https://openalex.org/W2966502719","https://openalex.org/W2997739739","https://openalex.org/W3005001078","https://openalex.org/W3012767629","https://openalex.org/W3012918605","https://openalex.org/W3034903580","https://openalex.org/W3044063956","https://openalex.org/W3080576183","https://openalex.org/W3130828726","https://openalex.org/W3136737181","https://openalex.org/W3143649444","https://openalex.org/W3160166991","https://openalex.org/W3160872503","https://openalex.org/W3169978599","https://openalex.org/W3173294575","https://openalex.org/W3173972271","https://openalex.org/W3189403855","https://openalex.org/W3191244312","https://openalex.org/W3192375950","https://openalex.org/W3195359770","https://openalex.org/W3205485865","https://openalex.org/W4200226646","https://openalex.org/W4226219101","https://openalex.org/W4280547572","https://openalex.org/W4283792797","https://openalex.org/W4290713716","https://openalex.org/W4312574624","https://openalex.org/W4315926876","https://openalex.org/W4319024142","https://openalex.org/W4382318469","https://openalex.org/W4388002642","https://openalex.org/W4388104352","https://openalex.org/W4393153115","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6738964360","https://openalex.org/W6762833281","https://openalex.org/W6771621015","https://openalex.org/W6776488958","https://openalex.org/W6779518175","https://openalex.org/W6779940601","https://openalex.org/W6780230476","https://openalex.org/W6786068067","https://openalex.org/W6790763814","https://openalex.org/W6803318553","https://openalex.org/W6852565057","https://openalex.org/W6852583479","https://openalex.org/W6873575674"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W1585007175","https://openalex.org/W2382521049","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2144385241","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"In":[0,57,124],"today's":[1],"digital":[2],"era":[3],"driven":[4],"by":[5],"data,":[6,14,34],"the":[7,12,52,55,115],"amount":[8],"and":[9,19,93,122],"complexity":[10,99],"of":[11,54,78,117,132],"collected":[13],"such":[15],"as":[16],"multiview,":[17],"non-Euclidean,":[18],"multirelational,":[20],"are":[21,43,104],"growing":[22],"exponentially":[23],"or":[24],"even":[25],"faster.":[26],"Clustering,":[27],"which":[28],"unsupervisedly":[29],"extracts":[30],"valid":[31],"knowledge":[32],"from":[33],"is":[35],"extremely":[36],"useful":[37],"in":[38],"practice.":[39],"However,":[40],"existing":[41],"methods":[42],"independently":[44],"developed":[45],"to":[46,89,129],"handle":[47],"one":[48],"particular":[49],"challenge":[50],"at":[51],"expense":[53],"others.":[56],"this":[58],"work,":[59],"we":[60,126],"propose":[61],"a":[62,108],"simple":[63],"but":[64],"effective":[65],"framework":[66],"for":[67],"complex":[68],"data":[69,79,131],"clustering":[70],"(CDC)":[71],"that":[72,103],"can":[73],"efficiently":[74],"process":[75],"different":[76],"types":[77],"with":[80,100],"linear":[81],"complexity.":[82],"We":[83,96,113],"first":[84],"use":[85],"graph":[86,130],"filtering":[87],"(GF)":[88],"fuse":[90],"geometric":[91],"structure":[92],"attribute":[94],"information.":[95],"then":[97],"reduce":[98],"high-quality":[101],"anchors":[102],"adaptively":[105],"learned":[106],"via":[107],"novel":[109],"similarity-preserving":[110],"(SP)":[111],"regularizer.":[112],"illustrate":[114],"cluster-ability":[116],"our":[118],"proposed":[119],"method":[120],"theoretically":[121],"experimentally.":[123],"particular,":[125],"deploy":[127],"CDC":[128],"size":[133],"111":[134],"M.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":39}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
