{"id":"https://openalex.org/W3190458475","doi":"https://doi.org/10.1109/fuzz45933.2021.9494601","title":"Unsupervised Fuzzy Neural Network for Image Clustering","display_name":"Unsupervised Fuzzy Neural Network for Image Clustering","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3190458475","doi":"https://doi.org/10.1109/fuzz45933.2021.9494601","mag":"3190458475"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz45933.2021.9494601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz45933.2021.9494601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5100398599","display_name":"Yifan Wang","orcid":"https://orcid.org/0000-0003-3820-2065"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifan Wang","raw_affiliation_strings":["School of Softerware Engineering, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,China","Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"School of Softerware Engineering, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035595838","display_name":"Hisao Ishibuchi","orcid":"https://orcid.org/0000-0001-9186-6472"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hisao Ishibuchi","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068185614","display_name":"Jihua Zhu","orcid":"https://orcid.org/0000-0002-3081-8781"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihua Zhu","raw_affiliation_strings":["School of Softerware Engineering, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"School of Softerware Engineering, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101651167","display_name":"Yaxiong Wang","orcid":"https://orcid.org/0000-0001-6596-8117"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]},{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxiong Wang","raw_affiliation_strings":["School of Softerware Engineering, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,China","Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"School of Softerware Engineering, Xi&#x0027;an Jiaotong University,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101571196","display_name":"Tao Dai","orcid":"https://orcid.org/0000-0002-1187-5019"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Dai","raw_affiliation_strings":["School of Economics and Management, Chang&#x0027;an University,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Chang&#x0027;an University,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100398599"],"corresponding_institution_ids":["https://openalex.org/I3045169105","https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.374,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64271903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"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/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"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":0.9966999888420105,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7180002331733704},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6815156936645508},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5948086977005005},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5825191140174866},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5662574768066406},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49076971411705017},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46169623732566833},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33732548356056213}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7180002331733704},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6815156936645508},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5948086977005005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5825191140174866},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5662574768066406},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49076971411705017},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46169623732566833},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33732548356056213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz45933.2021.9494601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz45933.2021.9494601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3814908347","display_name":null,"funder_award_id":"KQTD2016112514355531","funder_id":"https://openalex.org/F4320335790","funder_display_name":"Shenzhen Peacock Plan"},{"id":"https://openalex.org/G5859296700","display_name":null,"funder_award_id":"61876075","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"},{"id":"https://openalex.org/F4320335790","display_name":"Shenzhen Peacock Plan","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W78356000","https://openalex.org/W1985702987","https://openalex.org/W2042184006","https://openalex.org/W2079325629","https://openalex.org/W2089468765","https://openalex.org/W2090415868","https://openalex.org/W2097703723","https://openalex.org/W2113076747","https://openalex.org/W2118522967","https://openalex.org/W2121947440","https://openalex.org/W2125027820","https://openalex.org/W2127218421","https://openalex.org/W2156718197","https://openalex.org/W2546302380","https://openalex.org/W2919115771","https://openalex.org/W3006564191","https://openalex.org/W3014603824","https://openalex.org/W6603161775","https://openalex.org/W6677703963","https://openalex.org/W6678914141","https://openalex.org/W6682755970"],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865","https://openalex.org/W4312412183"],"abstract_inverted_index":{"Fuzzy":[0],"systems":[1,28],"have":[2,15],"proven":[3],"to":[4,19,29,47,90],"be":[5],"an":[6],"effective":[7],"tool":[8],"for":[9],"classification":[10],"and":[11,39,61,84,111],"regression.":[12],"However,":[13],"they":[14],"been":[16],"mainly":[17],"applied":[18],"supervised":[20],"tasks.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25],"extend":[26],"fuzzy":[27,44,51,79],"tackle":[30],"unsupervised":[31,50,81],"problems":[32],"based":[33],"on":[34,64,100],"the":[35,49,71,94,117,124],"manifold":[36,85,96],"regularization":[37],"framework":[38],"convolution/pooling":[40],"technologies.":[41],"The":[42,67],"proposed":[43,72,125],"system,":[45],"referred":[46],"as":[48],"neural":[52],"network,":[53],"can":[54],"extract":[55],"features":[56],"from":[57],"raw":[58],"images":[59],"accurately":[60],"perform":[62,91],"well":[63],"image":[65,101],"clustering.":[66],"main":[68],"structure":[69],"of":[70,120,123],"approach":[73,106,126],"is":[74,107],"divided":[75],"into":[76],"three":[77],"parts:":[78],"mapping,":[80],"feature":[82],"extraction":[83],"representation.":[86],"We":[87,114],"adopt":[88],"K-means":[89],"clustering":[92],"in":[93,127],"low-dimensional":[95],"space.":[97],"Experimental":[98],"results":[99],"datasets":[102],"demonstrate":[103],"that":[104],"our":[105],"competitive":[108],"with":[109],"classical":[110],"state-of-the-art":[112],"algorithms.":[113],"also":[115],"identify":[116],"relative":[118],"contributions":[119],"each":[121],"component":[122],"experiments.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
