{"id":"https://openalex.org/W3198260832","doi":"https://doi.org/10.1109/rcar52367.2021.9517087","title":"A Survey of Image Clustering: Taxonomy and Recent Methods","display_name":"A Survey of Image Clustering: Taxonomy and Recent Methods","publication_year":2021,"publication_date":"2021-07-15","ids":{"openalex":"https://openalex.org/W3198260832","doi":"https://doi.org/10.1109/rcar52367.2021.9517087","mag":"3198260832"},"language":"en","primary_location":{"id":"doi:10.1109/rcar52367.2021.9517087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar52367.2021.9517087","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 Real-time Computing and Robotics (RCAR)","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/A5100383767","display_name":"Jiaxin Liu","orcid":"https://orcid.org/0000-0002-9486-1084"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaxin Liu","raw_affiliation_strings":["State Grid Liaoning Electric Power Research Institute, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Liaoning Electric Power Research Institute, Shenyang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735739","display_name":"Dongwei Wang","orcid":"https://orcid.org/0000-0001-9365-1854"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongwei Wang","raw_affiliation_strings":["School of Technology, Beijing Forestry University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078777084","display_name":"Siquan Yu","orcid":"https://orcid.org/0000-0003-2513-9175"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siquan Yu","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365967","display_name":"Xueliang Li","orcid":"https://orcid.org/0000-0002-8928-9933"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xueliang Li","raw_affiliation_strings":["State Grid Shandong Electric Power Company, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Shandong Electric Power Company, Shandong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001277681","display_name":"Zhi Han","orcid":"https://orcid.org/0000-0002-8039-6679"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Han","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091319287","display_name":"Yandong Tang","orcid":"https://orcid.org/0000-0003-3805-7654"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yandong Tang","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3881,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6121998,"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":"375","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976999759674072,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9897000193595886,"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":0.8676877021789551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7391257286071777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5140584707260132},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.49837374687194824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46774083375930786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43792539834976196},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.4335097074508667},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4334689676761627},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.4300639033317566},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4282219707965851},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4128866195678711},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.3394240140914917},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.15490472316741943},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15342214703559875}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8676877021789551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7391257286071777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5140584707260132},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.49837374687194824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46774083375930786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43792539834976196},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.4335097074508667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4334689676761627},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.4300639033317566},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4282219707965851},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4128866195678711},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.3394240140914917},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.15490472316741943},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15342214703559875},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar52367.2021.9517087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar52367.2021.9517087","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 Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1581672997","display_name":null,"funder_award_id":"2018YFB1307400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1491343858","https://openalex.org/W2098318489","https://openalex.org/W2135674549","https://openalex.org/W2759684359","https://openalex.org/W2884017878","https://openalex.org/W2887843986","https://openalex.org/W2951632923","https://openalex.org/W2971855126","https://openalex.org/W2972333410","https://openalex.org/W3001721716","https://openalex.org/W3015507004","https://openalex.org/W3028306937","https://openalex.org/W3085482458","https://openalex.org/W3087124270","https://openalex.org/W3091008613","https://openalex.org/W3106882279","https://openalex.org/W3107001964","https://openalex.org/W3108682107","https://openalex.org/W3109167698","https://openalex.org/W3113415515","https://openalex.org/W3121375627","https://openalex.org/W3124164370","https://openalex.org/W3137513727","https://openalex.org/W3159901117","https://openalex.org/W3167116766","https://openalex.org/W3183873439","https://openalex.org/W3211858897","https://openalex.org/W4289751536","https://openalex.org/W6629515606","https://openalex.org/W6766628391","https://openalex.org/W6779163087","https://openalex.org/W6781842579","https://openalex.org/W6782959951","https://openalex.org/W6786559554","https://openalex.org/W6787275596","https://openalex.org/W6788603753","https://openalex.org/W6789916677","https://openalex.org/W6791237183","https://openalex.org/W6791370643"],"related_works":["https://openalex.org/W3197105638","https://openalex.org/W2036275527","https://openalex.org/W2626264717","https://openalex.org/W4233099250","https://openalex.org/W1536496053","https://openalex.org/W4200404937","https://openalex.org/W2559914783","https://openalex.org/W3192757256","https://openalex.org/W2047852079","https://openalex.org/W2090811282"],"abstract_inverted_index":{"Image":[0],"clustering":[1,29,68,82],"is":[2,106],"a":[3,15,41],"fundamental":[4],"problem":[5],"in":[6,115],"computer":[7],"vision":[8],"domains.":[9,32],"In":[10],"this":[11,116],"survey,":[12],"we":[13,22,34,110],"provide":[14],"comprehensive":[16],"overview":[17],"of":[18,27,43,79],"image":[19,28,44,81],"clustering.":[20,45],"Specifically,":[21],"first":[23],"discuss":[24],"the":[25,36,72,92,112],"applications":[26],"across":[30],"various":[31,80],"Then,":[33],"summarize":[35,91],"common":[37],"algorithms":[38],"and":[39,65,76,90,99,102],"propose":[40,111],"classification":[42],"The":[46],"existing":[47,77],"methods":[48,64,89,105],"are":[49],"classified":[50],"from":[51],"four":[52],"aspects:":[53],"autoencoder":[54],"based":[55,63],"methods,":[56],"subspace":[57],"clustering,":[58],"graph":[59],"convolution":[60],"network":[61],"(GCN)":[62],"some":[66,87],"other":[67],"methods.":[69,83],"We":[70,84],"introduce":[71,86],"main":[73],"research":[74],"contents":[75],"problems":[78],"also":[85],"recent":[88],"experimental":[93],"results.":[94],"Based":[95],"on":[96],"our":[97],"taxonomy":[98],"analysis,":[100],"creating":[101],"verifying":[103],"new":[104],"more":[107],"straightforward.":[108],"Finally,":[109],"future":[113],"opportunities":[114],"fast":[117],"developing":[118],"field.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}