{"id":"https://openalex.org/W2524927650","doi":"https://doi.org/10.1007/978-3-319-47160-0_42","title":"Learning Latent Features for Multi-view Clustering Based on NMF","display_name":"Learning Latent Features for Multi-view Clustering Based on NMF","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2524927650","doi":"https://doi.org/10.1007/978-3-319-47160-0_42","mag":"2524927650"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-47160-0_42","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-47160-0_42","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5113899125","display_name":"Mengjiao He","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengjiao He","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, People\u2019s Republic of China","School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, People\u2019s Republic of China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, People's Republic of China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068951317","display_name":"Yan Yang","orcid":"https://orcid.org/0000-0002-6134-6094"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yang","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, People\u2019s Republic of China","School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, People\u2019s Republic of China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, People's Republic of China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100357108","display_name":"Hongjun Wang","orcid":"https://orcid.org/0000-0001-7280-2852"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Wang","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, People\u2019s Republic of China","School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, People\u2019s Republic of China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, People's Republic of China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113899125"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.4443,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80103359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"459","last_page":"469"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9965999722480774,"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":0.9965999722480774,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9954000115394592,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9871000051498413,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8659491539001465},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8584262132644653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7122147679328918},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6744086742401123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5253120064735413},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5105723142623901},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5058064460754395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48049819469451904},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.45483630895614624},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.45162928104400635},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.44058749079704285},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4254758358001709},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.411638081073761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2427431046962738},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14998117089271545},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.056787312030792236}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8659491539001465},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8584262132644653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7122147679328918},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6744086742401123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5253120064735413},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5105723142623901},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5058064460754395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48049819469451904},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.45483630895614624},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.45162928104400635},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.44058749079704285},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4254758358001709},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.411638081073761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2427431046962738},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14998117089271545},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.056787312030792236},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-47160-0_42","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-47160-0_42","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W53987483","https://openalex.org/W201974436","https://openalex.org/W1566499617","https://openalex.org/W1670132599","https://openalex.org/W1896461622","https://openalex.org/W1902027874","https://openalex.org/W1981276685","https://openalex.org/W1989529706","https://openalex.org/W2033403400","https://openalex.org/W2047654754","https://openalex.org/W2048679005","https://openalex.org/W2064751512","https://openalex.org/W2101837437","https://openalex.org/W2106890447","https://openalex.org/W2108919995","https://openalex.org/W2117991580","https://openalex.org/W2142742813","https://openalex.org/W2144299089","https://openalex.org/W2145295623","https://openalex.org/W2154415691","https://openalex.org/W2157244796","https://openalex.org/W2159091719","https://openalex.org/W2165129186","https://openalex.org/W2169529055","https://openalex.org/W2176433868","https://openalex.org/W2405459681","https://openalex.org/W2949193926","https://openalex.org/W3105265400","https://openalex.org/W6601449391"],"related_works":["https://openalex.org/W2892323093","https://openalex.org/W2556490192","https://openalex.org/W2361242132","https://openalex.org/W3071522575","https://openalex.org/W3140018618","https://openalex.org/W2406185607","https://openalex.org/W2389934482","https://openalex.org/W2374506950","https://openalex.org/W2353443653","https://openalex.org/W2557733197"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
