{"id":"https://openalex.org/W2809325541","doi":"https://doi.org/10.1186/s13640-018-0287-5","title":"Double regularized matrix factorization for image classification and clustering","display_name":"Double regularized matrix factorization for image classification and clustering","publication_year":2018,"publication_date":"2018-06-22","ids":{"openalex":"https://openalex.org/W2809325541","doi":"https://doi.org/10.1186/s13640-018-0287-5","mag":"2809325541"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-018-0287-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0287-5","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0287-5","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0287-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100638965","display_name":"Wei Zhou","orcid":"https://orcid.org/0000-0002-5931-3197"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China"],"raw_orcid":"https://orcid.org/0000-0002-5931-3197","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000383993","display_name":"Chengdong Wu","orcid":"https://orcid.org/0000-0001-9906-5493"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengdong Wu","raw_affiliation_strings":["Faculty of Robot Science and Engineering, Northeastern University, Shenyang, 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Robot Science and Engineering, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387975","display_name":"Jianzhong Wang","orcid":"https://orcid.org/0000-0002-6867-3282"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhong Wang","raw_affiliation_strings":["Key Laboratory of Applied Statistics of MOE, Northeast Normal University, Changchun, 130117, China","School of Information Science and Technology, Northeast Normal University Changchun, Changchun, 130117, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Applied Statistics of MOE, Northeast Normal University, Changchun, 130117, China","institution_ids":["https://openalex.org/I184983240"]},{"raw_affiliation_string":"School of Information Science and Technology, Northeast Normal University Changchun, Changchun, 130117, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073414420","display_name":"Xiaosheng Yu","orcid":"https://orcid.org/0000-0003-3218-1486"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaosheng Yu","raw_affiliation_strings":["Faculty of Robot Science and Engineering, Northeastern University, Shenyang, 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Robot Science and Engineering, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074492862","display_name":"Yugen Yi","orcid":"https://orcid.org/0000-0001-9828-0319"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yugen Yi","raw_affiliation_strings":["School of Software, Jiangxi Normal University, Nanchang, 330022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Normal University, Nanchang, 330022, China","institution_ids":["https://openalex.org/I53592917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100638965"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":0.4866,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66033247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2018","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9930999875068665,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.992900013923645,"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/matrix-decomposition","display_name":"Matrix decomposition","score":0.6156122088432312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5696293711662292},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5615869760513306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5369501113891602},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5295171141624451},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5156835317611694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5036389231681824},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.49451515078544617},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4355802834033966},{"id":"https://openalex.org/keywords/minimum-redundancy-feature-selection","display_name":"Minimum redundancy feature selection","score":0.4186200797557831},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35506874322891235},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28217437863349915},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.14381247758865356}],"concepts":[{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6156122088432312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5696293711662292},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5615869760513306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5369501113891602},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5295171141624451},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5156835317611694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5036389231681824},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.49451515078544617},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4355802834033966},{"id":"https://openalex.org/C16811321","wikidata":"https://www.wikidata.org/wiki/Q17138905","display_name":"Minimum redundancy feature selection","level":3,"score":0.4186200797557831},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35506874322891235},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28217437863349915},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.14381247758865356},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-018-0287-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0287-5","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0287-5","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:625be5ffd664417d811ffc4d8329ab5e","is_oa":true,"landing_page_url":"https://doaj.org/article/625be5ffd664417d811ffc4d8329ab5e","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":"EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-19 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-018-0287-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0287-5","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0287-5","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1250474890","display_name":null,"funder_award_id":"61602221","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G1301459574","display_name":null,"funder_award_id":"61602221","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1741660668","display_name":null,"funder_award_id":"2017YFB1300900","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3338903898","display_name":null,"funder_award_id":"61701101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3899345311","display_name":null,"funder_award_id":"201601019","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4103158612","display_name":null,"funder_award_id":"61602221","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4190472138","display_name":null,"funder_award_id":"20171BAB212009","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G449684716","display_name":null,"funder_award_id":"17-87-0-00","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G498883638","display_name":null,"funder_award_id":"N172604004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5920698181","display_name":null,"funder_award_id":"17-87-0-00","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6005532943","display_name":null,"funder_award_id":"61603415","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6463302226","display_name":null,"funder_award_id":"201601019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G736570643","display_name":null,"funder_award_id":"N172604004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G752382152","display_name":null,"funder_award_id":"61603415","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8242258126","display_name":null,"funder_award_id":"20171BAB212009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8415382329","display_name":null,"funder_award_id":"U17132166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8709335690","display_name":null,"funder_award_id":"2017YFB1300900","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8837048985","display_name":null,"funder_award_id":"U17132166","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G935011363","display_name":null,"funder_award_id":"61701101","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2809325541.pdf","grobid_xml":"https://content.openalex.org/works/W2809325541.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W120692785","https://openalex.org/W141062567","https://openalex.org/W146732357","https://openalex.org/W580123053","https://openalex.org/W1491109205","https://openalex.org/W1554663460","https://openalex.org/W1983069960","https://openalex.org/W1989750677","https://openalex.org/W2006793117","https://openalex.org/W2015648984","https://openalex.org/W2016623168","https://openalex.org/W2036285176","https://openalex.org/W2051674524","https://openalex.org/W2063556572","https://openalex.org/W2075421061","https://openalex.org/W2083666679","https://openalex.org/W2090208309","https://openalex.org/W2091040401","https://openalex.org/W2097012130","https://openalex.org/W2103560185","https://openalex.org/W2106115875","https://openalex.org/W2108119513","https://openalex.org/W2125874614","https://openalex.org/W2128873747","https://openalex.org/W2135029798","https://openalex.org/W2149620660","https://openalex.org/W2154053567","https://openalex.org/W2155759509","https://openalex.org/W2168103112","https://openalex.org/W2209159500","https://openalex.org/W2299646912","https://openalex.org/W2335437633","https://openalex.org/W2344681634","https://openalex.org/W2422268042","https://openalex.org/W2520964758","https://openalex.org/W2522265690","https://openalex.org/W2576167394","https://openalex.org/W2594857575","https://openalex.org/W2609819335","https://openalex.org/W2735033997","https://openalex.org/W2740962967","https://openalex.org/W2753846453","https://openalex.org/W2759445433","https://openalex.org/W2959792658","https://openalex.org/W2994340921","https://openalex.org/W3203006154","https://openalex.org/W4388297464","https://openalex.org/W6600135713","https://openalex.org/W6600168311","https://openalex.org/W6600175266","https://openalex.org/W6600558321","https://openalex.org/W6600586173","https://openalex.org/W6600588016","https://openalex.org/W6602673544","https://openalex.org/W6629312155","https://openalex.org/W6639251083","https://openalex.org/W6835552651"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W3097449145","https://openalex.org/W2794559785","https://openalex.org/W4294811468","https://openalex.org/W2219450347","https://openalex.org/W1973739845","https://openalex.org/W119752240","https://openalex.org/W2155305603","https://openalex.org/W2909393029"],"abstract_inverted_index":{"Feature":[0,46],"selection,":[1],"which":[2],"aims":[3],"to":[4,10,83,110,126,175],"select":[5,26],"an":[6,17,134,170],"optimal":[7],"feature":[8,38,57,100,116],"subset":[9],"avoid":[11],"the":[12,56,88,92,99,103,107,112,115,130,142,149,157,191,195,202],"\u201ccurse":[13],"of":[14,60,90,98,102,114,145,200],"dimensionality,\u201d":[15],"is":[16,53,139],"important":[18],"research":[19],"topic":[20],"in":[21,49,124,198],"many":[22],"real-world":[23],"applications.":[24],"To":[25],"informative":[27],"features":[28,151],"from":[29],"a":[30,35],"high-dimensional":[31,159],"dataset,":[32],"we":[33,105,168],"propose":[34],"novel":[36],"unsupervised":[37],"selection":[39,58,117],"algorithm":[40,174],"called":[41],"Double":[42],"Regularized":[43],"Matrix":[44],"Factorization":[45],"Selection":[47],"(DRMFFS)":[48],"this":[50,65],"paper.":[51],"DRMFFS":[52,153],"based":[54],"on":[55,141,185],"framework":[59,66],"matrix":[61,146],"factorization,":[62],"but":[63,162],"extends":[64],"by":[67,152],"introducing":[68],"double":[69],"regularizations":[70],"(i.e.,":[71],"graph":[72,108],"regularization":[73,109,137],"and":[74,179,204],"inner":[75,135],"product":[76,136],"regularization).":[77],"There":[78],"are":[79],"three":[80],"major":[81],"contributions":[82],"our":[84,177],"approach.":[85],"First,":[86],"for":[87],"sake":[89],"preserving":[91],"useful":[93],"underlying":[94],"geometric":[95],"structure":[96],"information":[97],"space":[101],"data,":[104],"introduce":[106],"guide":[111],"learning":[113],"matrix,":[118],"making":[119],"it":[120],"more":[121],"effective.":[122],"Second,":[123],"order":[125],"take":[127],"into":[128],"account":[129],"correlations":[131],"among":[132],"features,":[133],"term":[138],"imposed":[140],"objective":[143],"function":[144],"factorization.":[147],"Therefore,":[148],"selected":[150],"cannot":[154],"only":[155],"represent":[156],"original":[158],"data":[160],"well":[161],"also":[163,180],"contain":[164],"low":[165],"redundancy.":[166],"Third,":[167],"design":[169],"efficient":[171],"iteratively":[172],"update":[173],"solve":[176],"approach":[178,193],"prove":[181],"its":[182],"convergence.":[183],"Experiments":[184],"six":[186],"benchmark":[187],"databases":[188],"demonstrate":[189],"that":[190],"proposed":[192],"outperforms":[194],"state-of-the-art":[196],"approaches":[197],"terms":[199],"both":[201],"classification":[203],"clustering":[205],"performance.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
