{"id":"https://openalex.org/W2065347048","doi":"https://doi.org/10.1109/tkde.2014.2310215","title":"Incremental Affinity Propagation Clustering Based on Message Passing","display_name":"Incremental Affinity Propagation Clustering Based on Message Passing","publication_year":2014,"publication_date":"2014-03-11","ids":{"openalex":"https://openalex.org/W2065347048","doi":"https://doi.org/10.1109/tkde.2014.2310215","mag":"2065347048"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2014.2310215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2014.2310215","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5081275566","display_name":"Leilei Sun","orcid":"https://orcid.org/0000-0002-0157-1716"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Leilei Sun","raw_affiliation_strings":["School of Management Science and Engineering, Dalian University of Technology, Dalian, China","[School of Management Science and Engineering, Dalian University of Technology, Dalian, China]"],"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"[School of Management Science and Engineering, Dalian University of Technology, Dalian, China]","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028839347","display_name":"Chonghui Guo","orcid":"https://orcid.org/0000-0002-5155-1297"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chonghui Guo","raw_affiliation_strings":["School of Management Science and Engineering, Dalian University of Technology, Dalian, China","[School of Management Science and Engineering, Dalian University of Technology, Dalian, China]"],"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"[School of Management Science and Engineering, Dalian University of Technology, Dalian, China]","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081275566"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":5.2586,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.96099273,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"26","issue":"11","first_page":"2731","last_page":"2744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.9226998090744019},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"Affinity propagation","score":0.7807111144065857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7773517370223999},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.7257540225982666},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.7028894424438477},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.6765276193618774},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.6598877906799316},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5760114789009094},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5241327881813049},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.498485803604126},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.4933601915836334},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4321626126766205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40312138199806213}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.9226998090744019},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.7807111144065857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7773517370223999},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.7257540225982666},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.7028894424438477},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.6765276193618774},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.6598877906799316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5760114789009094},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5241327881813049},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.498485803604126},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.4933601915836334},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4321626126766205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40312138199806213},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2014.2310215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2014.2310215","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W41167425","https://openalex.org/W1637764678","https://openalex.org/W1759780789","https://openalex.org/W1895591946","https://openalex.org/W1965456679","https://openalex.org/W1979607399","https://openalex.org/W1992968767","https://openalex.org/W2011430131","https://openalex.org/W2073243777","https://openalex.org/W2080068757","https://openalex.org/W2081125316","https://openalex.org/W2086478515","https://openalex.org/W2093813894","https://openalex.org/W2097747115","https://openalex.org/W2098549407","https://openalex.org/W2101905114","https://openalex.org/W2113054345","https://openalex.org/W2123297508","https://openalex.org/W2127027842","https://openalex.org/W2127261457","https://openalex.org/W2129755195","https://openalex.org/W2137813581","https://openalex.org/W2140190241","https://openalex.org/W2140405352","https://openalex.org/W2143075689","https://openalex.org/W2144037077","https://openalex.org/W2153233077","https://openalex.org/W2165232124","https://openalex.org/W2169415915","https://openalex.org/W2170936641","https://openalex.org/W2293546752","https://openalex.org/W6601635733","https://openalex.org/W6639689668"],"related_works":["https://openalex.org/W2358586643","https://openalex.org/W2245611357","https://openalex.org/W2567087402","https://openalex.org/W2590117803","https://openalex.org/W3186815950","https://openalex.org/W2361333219","https://openalex.org/W2393707058","https://openalex.org/W2202413591","https://openalex.org/W2389934482","https://openalex.org/W2388628913"],"abstract_inverted_index":{"Affinity":[0,42],"Propagation":[1,43],"(AP)":[2],"clustering":[3,12,32,57,64,71,102,120,125,159],"has":[4],"been":[5],"successfully":[6],"used":[7,91,156],"in":[8,30,40,138,157],"a":[9,88],"lot":[10],"of":[11,16,96],"problems.":[13,33],"However,":[14],"most":[15],"the":[17,38,94,128,132,143,146],"applications":[18],"deal":[19],"with":[20,122],"static":[21],"data.":[22],"This":[23],"paper":[24],"considers":[25],"how":[26],"to":[27,51,92,106,153],"apply":[28],"AP":[29,101,124],"incremental":[31,158],"First,":[34],"we":[35],"point":[36],"out":[37],"difficulties":[39],"Incremental":[41],"(IAP)":[44],"clustering,":[45],"and":[46,69,87,98,115,140,145,150],"then":[47],"propose":[48],"two":[49,55],"strategies":[50],"solve":[52],"them.":[53],"Correspondingly,":[54],"IAP":[56,63,70],"algorithms":[58],"are":[59,62,90],"proposed.":[60],"They":[61],"based":[65,72],"on":[66,73,126],"K-Medoids":[67],"(IAPKM)":[68],"Nearest":[74],"Neighbor":[75],"Assignment":[76],"(IAPNA).":[77],"Five":[78],"popular":[79],"labeled":[80],"data":[81,129],"sets,":[82],"real":[83],"world":[84],"time":[85,133],"series":[86],"video":[89],"test":[93],"performance":[95,121],"IAPKM":[97,114,139,149],"IAPNA.":[99,141],"Traditional":[100],"is":[103,135],"also":[104],"implemented":[105],"provide":[107],"benchmark":[108],"performance.":[109],"Experimental":[110],"results":[111],"show":[112],"that":[113],"IAPNA":[116,151],"can":[117],"achieve":[118],"comparable":[119],"traditional":[123],"all":[127],"sets.":[130],"Meanwhile,":[131],"cost":[134],"dramatically":[136],"reduced":[137],"Both":[142],"effectiveness":[144],"efficiency":[147],"make":[148],"able":[152],"be":[154],"well":[155],"tasks.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}