{"id":"https://openalex.org/W4392910503","doi":"https://doi.org/10.1109/icassp48485.2024.10448378","title":"Incomplete Multi-View Clustering Via Inference and Evaluation","display_name":"Incomplete Multi-View Clustering Via Inference and Evaluation","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392910503","doi":"https://doi.org/10.1109/icassp48485.2024.10448378"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10448378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5040071999","display_name":"Binqiang Huang","orcid":"https://orcid.org/0000-0003-4364-7640"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Binqiang Huang","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,China","College of Computer and Data Science, Fuzhou University, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090026096","display_name":"Zhijie Huang","orcid":"https://orcid.org/0000-0003-2284-811X"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijie Huang","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,China","College of Computer and Data Science, Fuzhou University, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111092118","display_name":"Shoujie Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shoujie Lan","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,China","College of Computer and Data Science, Fuzhou University, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006269744","display_name":"Qinghai Zheng","orcid":"https://orcid.org/0000-0002-8684-1577"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghai Zheng","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,China","College of Computer and Data Science, Fuzhou University, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053193108","display_name":"Yuanlong Yu","orcid":"https://orcid.org/0000-0002-2112-6214"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanlong Yu","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,China","College of Computer and Data Science, Fuzhou University, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040071999"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":1.8185,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86367293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"8180","last_page":"8184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.85589998960495,"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":0.85589998960495,"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":0.7246579527854919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7066095471382141},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7028657793998718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45974427461624146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.419653058052063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36459702253341675}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7246579527854919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7066095471382141},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7028657793998718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45974427461624146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.419653058052063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36459702253341675}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10448378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320325408","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82"},{"id":"https://openalex.org/F4320334111","display_name":"Innovation Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2181159407","https://openalex.org/W2903938664","https://openalex.org/W2904419448","https://openalex.org/W2965970896","https://openalex.org/W3008561560","https://openalex.org/W3047358409","https://openalex.org/W3110446398","https://openalex.org/W3120213044","https://openalex.org/W3160988939","https://openalex.org/W3176728172","https://openalex.org/W3208823574","https://openalex.org/W4283798877","https://openalex.org/W4289535947","https://openalex.org/W4312973985","https://openalex.org/W4321113904","https://openalex.org/W4361801401","https://openalex.org/W4386071507","https://openalex.org/W6766972023","https://openalex.org/W6774314701","https://openalex.org/W6791353385"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Multi-view":[0],"clustering":[1,6],"aims":[2],"to":[3,36,68,85,126,152],"improve":[4],"the":[5,37,55,71,87,90,94,99,117,128,154,167],"performance":[7],"by":[8],"leveraging":[9],"information":[10,130],"from":[11,54,131],"multiple":[12,76],"views.":[13],"Most":[14],"existing":[15,132],"works":[16],"assume":[17],"that":[18],"all":[19,33],"views":[20,125,144,159],"are":[21,48,66,140,163],"complete.":[22],"However,":[23],"samples":[24,133],"in":[25,32],"real-world":[26],"scenarios":[27],"cannot":[28],"be":[29],"always":[30],"observed":[31],"views,":[34],"leading":[35],"challenging":[38],"problem":[39],"of":[40,75,81,89,123,169],"Incomplete":[41,106],"Multi-View":[42,107],"Clustering":[43,108],"(IMVC).":[44],"Although":[45],"some":[46],"attempts":[47],"made":[49],"recently,":[50],"they":[51,60,79],"still":[52],"suffer":[53],"following":[56],"two":[57],"limitations:":[58],"(1)":[59],"usually":[61],"adopt":[62],"shallow":[63],"models,":[64],"which":[65],"unable":[67],"sufficiently":[69],"explore":[70],"consistency":[72],"and":[73,111,145,165],"complementary":[74],"views;":[77],"(2)":[78],"lack":[80],"a":[82,104,146],"suitable":[83],"measurement":[84],"evaluate":[86],"quality":[88],"recovered":[91],"data":[92,139,156],"during":[93],"learning":[95,119],"process.":[96],"To":[97],"address":[98],"aforementioned":[100],"limitations,":[101],"we":[102],"introduce":[103],"novel":[105,147],"via":[109],"Inference":[110],"Evaluation":[112],"(IMVC-IE).":[113],"Specifically,":[114],"IMVC-IE":[115],"adopts":[116],"contrastive":[118],"strategy":[120,149],"on":[121],"features":[122],"different":[124],"excavate":[127],"underlying":[129],"firstly.":[134],"Subsequently,":[135],"massive":[136],"alternative":[137],"simulated":[138],"inferred":[141],"for":[142,157],"missing":[143,158],"evaluation":[148],"is":[150],"presented":[151],"obtain":[153],"proper":[155],"completion.":[160],"Extensive":[161],"experiments":[162],"conducted":[164],"verify":[166],"effectiveness":[168],"our":[170],"method.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
