{"id":"https://openalex.org/W2983599773","doi":"https://doi.org/10.1109/access.2019.2951393","title":"Similarity Learning-Induced Symmetric Nonnegative Matrix Factorization for Image Clustering","display_name":"Similarity Learning-Induced Symmetric Nonnegative Matrix Factorization for Image Clustering","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2983599773","doi":"https://doi.org/10.1109/access.2019.2951393","mag":"2983599773"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2951393","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2951393","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08890852.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08890852.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070936974","display_name":"Wei Yan","orcid":"https://orcid.org/0000-0003-3037-6300"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Wei Yan","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0003-3037-6300","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048088901","display_name":"Bob Zhang","orcid":"https://orcid.org/0000-0003-2497-9519"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bob Zhang","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0003-2497-9519","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069624559","display_name":"Zuyuan Yang","orcid":"https://orcid.org/0000-0003-2030-707X"},"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":"Zuyuan Yang","raw_affiliation_strings":["Guangdong Key Laboratory of IoT Information Technology, School of Automation, Guangdong University of Technology, Guangzhou, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0003-2030-707X","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of IoT Information Technology, School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043262479","display_name":"Shengli Xie","orcid":"https://orcid.org/0000-0003-2041-5214"},"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":"Shengli Xie","raw_affiliation_strings":["Guangdong Key Laboratory of IoT Information Technology, School of Automation, Guangdong University of Technology, Guangzhou, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0003-2041-5214","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of IoT Information Technology, School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070936974"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3062,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.61734075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"166380","last_page":"166389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993000030517578,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993000030517578,"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/T10057","display_name":"Face and Expression Recognition","score":0.9991999864578247,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7768136262893677},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6044005155563354},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5630537271499634},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5533813238143921},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5499434471130371},{"id":"https://openalex.org/keywords/symmetric-matrix","display_name":"Symmetric matrix","score":0.5459240674972534},{"id":"https://openalex.org/keywords/nonnegative-matrix","display_name":"Nonnegative matrix","score":0.5309521555900574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5245901942253113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4911658465862274},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4500206410884857},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42044854164123535},{"id":"https://openalex.org/keywords/matrix-algebra","display_name":"Matrix algebra","score":0.4141348600387573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4012904465198517},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.32615530490875244},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11297741532325745},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.08907711505889893}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7768136262893677},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6044005155563354},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5630537271499634},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5533813238143921},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5499434471130371},{"id":"https://openalex.org/C54848796","wikidata":"https://www.wikidata.org/wiki/Q339011","display_name":"Symmetric matrix","level":3,"score":0.5459240674972534},{"id":"https://openalex.org/C139018669","wikidata":"https://www.wikidata.org/wiki/Q6961560","display_name":"Nonnegative matrix","level":4,"score":0.5309521555900574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5245901942253113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4911658465862274},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4500206410884857},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42044854164123535},{"id":"https://openalex.org/C2988995629","wikidata":"https://www.wikidata.org/wiki/Q2915729","display_name":"Matrix algebra","level":3,"score":0.4141348600387573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4012904465198517},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.32615530490875244},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11297741532325745},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.08907711505889893},{"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},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2951393","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2951393","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08890852.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:35afbedbbc0b417ca0987cd4d7b2b725","is_oa":true,"landing_page_url":"https://doaj.org/article/35afbedbbc0b417ca0987cd4d7b2b725","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 166380-166389 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2951393","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2951393","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08890852.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3292123670","display_name":null,"funder_award_id":"61602540","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7651147327","display_name":null,"funder_award_id":"61722304","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2983599773.pdf","grobid_xml":"https://content.openalex.org/works/W2983599773.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1084418525","https://openalex.org/W1968865278","https://openalex.org/W1968970305","https://openalex.org/W2030103537","https://openalex.org/W2043545458","https://openalex.org/W2067931421","https://openalex.org/W2099779699","https://openalex.org/W2112796928","https://openalex.org/W2124890708","https://openalex.org/W2126918862","https://openalex.org/W2132914434","https://openalex.org/W2135029798","https://openalex.org/W2136635436","https://openalex.org/W2145725490","https://openalex.org/W2468752595","https://openalex.org/W2508393166","https://openalex.org/W2510237014","https://openalex.org/W2527187792","https://openalex.org/W2541338223","https://openalex.org/W2595304583","https://openalex.org/W2607323999","https://openalex.org/W2612496192","https://openalex.org/W2622869899","https://openalex.org/W2744141159","https://openalex.org/W2752190933","https://openalex.org/W2791052411","https://openalex.org/W2791459777","https://openalex.org/W2792991240","https://openalex.org/W2801999749","https://openalex.org/W2803978698","https://openalex.org/W2804454015","https://openalex.org/W2886265585","https://openalex.org/W2888398121","https://openalex.org/W2893830906","https://openalex.org/W2903254834","https://openalex.org/W2904965361","https://openalex.org/W2906529026","https://openalex.org/W2952588066","https://openalex.org/W2965052154","https://openalex.org/W2981206386","https://openalex.org/W6678810943","https://openalex.org/W6680012447","https://openalex.org/W6728665592","https://openalex.org/W6755058994"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2108919995","https://openalex.org/W2069570686","https://openalex.org/W2022978200","https://openalex.org/W3099441337","https://openalex.org/W2731733684","https://openalex.org/W2768089427","https://openalex.org/W1989034480"],"abstract_inverted_index":{"As":[0],"a":[1,45,105,119,156],"typical":[2],"variation":[3],"of":[4,14,17,24,36,47,57,88,133,144,150,167,182],"nonnegative":[5],"matrix":[6,23,46],"factorization":[7],"(NMF),":[8],"symmetric":[9],"NMF":[10],"(SNMF)":[11],"is":[12,50,76,192],"capable":[13],"exploiting":[15],"information":[16,62],"the":[18,22,34,37,64,84,89,93,130,138,142,148,159,165,180,207],"cluster":[19,170],"embedded":[20],"in":[21],"similarity.":[25],"The":[26],"traditional":[27],"SNMF-based":[28],"methods":[29,68,209],"for":[30,173,210],"clustering":[31,73,94,131,151],"first":[32],"performs":[33],"techniques":[35],"similarity":[38,90,110,145,168],"learning":[39,91,146],"on":[40,97],"input":[41],"data":[42,201],"to":[43,60,71,163],"learn":[44,61,164],"similarity,":[48],"which":[49],"subsequently":[51],"factorized":[52],"by":[53,135],"SNMF":[54,107,112,134,161],"or":[55],"one":[56],"its":[58],"variants":[59],"from":[63],"cluster.":[65],"While":[66],"these":[67,125],"have":[69],"led":[70],"satisfactory":[72],"results,":[74],"it":[75],"suboptimal,":[77],"since":[78],"they":[79],"do":[80],"not":[81],"explicitly":[82],"exploit":[83],"fact":[85],"that":[86,122,204],"processes":[87],"and":[92,147,169,185],"are":[95],"depend":[96],"each":[98],"other.":[99],"In":[100],"this":[101,175],"paper,":[102],"we":[103,178],"describe":[104],"new":[106,176],"model,":[108,177],"termed":[109],"learning-induced":[111],"(SLSNMF).":[113],"SLSNMF":[114,128,205],"can":[115],"be":[116],"considered":[117],"as":[118],"unified":[120],"framework":[121],"jointly":[123],"considers":[124],"two":[126],"processes.":[127],"improves":[129],"performance":[132],"thoroughly":[136],"exploring":[137],"mutual":[139],"reinforcement":[140],"between":[141],"process":[143,149],"until":[152],"convergence.":[153],"We":[154],"incorporate":[155],"constraint":[157],"into":[158],"standard":[160],"model":[162],"matrices":[166],"simultaneously.":[171],"Meanwhile,":[172],"solving":[174],"use":[179],"strategy":[181],"alternating":[183],"iterative":[184],"derive":[186],"an":[187],"efficient":[188],"algorithm,":[189],"whose":[190],"convergence":[191],"theoretically":[193],"guaranteed.":[194],"Experimental":[195],"results":[196],"over":[197],"three":[198],"benchmark":[199],"image":[200],"sets":[202],"demonstrate":[203],"outperforms":[206],"state-of-the-art":[208],"clustering.":[211]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}