{"id":"https://openalex.org/W2151776767","doi":"https://doi.org/10.4304/jcp.5.11.1731-1738","title":"Automatically Affinity Propagation Clustering using Particle Swarm","display_name":"Automatically Affinity Propagation Clustering using Particle Swarm","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2151776767","doi":"https://doi.org/10.4304/jcp.5.11.1731-1738","mag":"2151776767"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.5.11.1731-1738","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.5.11.1731-1738","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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/A5100601693","display_name":"Xianhui Wang","orcid":"https://orcid.org/0000-0003-2570-8040"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xian-hui Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101678400","display_name":"Zheng Qin","orcid":"https://orcid.org/0000-0001-5645-5088"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng Qin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5115594780","display_name":"Xuanping Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuan-ping Zhang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100601693"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.14675231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":"11","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991999864578247,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9966999888420105,"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/T11106","display_name":"Data Management and Algorithms","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6353362202644348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5633019208908081},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"Affinity propagation","score":0.5072064399719238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36694788932800293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32480737566947937},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.12268006801605225},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.06460881233215332}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6353362202644348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5633019208908081},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.5072064399719238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36694788932800293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32480737566947937},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.12268006801605225},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.06460881233215332}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.5.11.1731-1738","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.5.11.1731-1738","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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":15,"referenced_works":["https://openalex.org/W1489991816","https://openalex.org/W1830468002","https://openalex.org/W1992419399","https://openalex.org/W2105476508","https://openalex.org/W2106231890","https://openalex.org/W2107903523","https://openalex.org/W2109364787","https://openalex.org/W2120529703","https://openalex.org/W2129066856","https://openalex.org/W2152195021","https://openalex.org/W2153233077","https://openalex.org/W2158184062","https://openalex.org/W2165232124","https://openalex.org/W2402846924","https://openalex.org/W3140749446"],"related_works":["https://openalex.org/W2992727291","https://openalex.org/W1895591946","https://openalex.org/W2358586643","https://openalex.org/W1975195692","https://openalex.org/W24528901","https://openalex.org/W2153301290","https://openalex.org/W2986853125","https://openalex.org/W2071367282","https://openalex.org/W1966431033","https://openalex.org/W2069401491"],"abstract_inverted_index":{"Affinity":[0,75],"propagation":[1],"(AP)":[2],"is":[3,63,81],"a":[4,24,70],"clustering":[5,14,26,42,93,130,172],"algorithm":[6],"which":[7],"has":[8],"much":[9],"better":[10],"performance":[11],"than":[12],"traditional":[13],"approach":[15,72],"such":[16],"as":[17,100],"K-means":[18],"algorithm.":[19],"AP":[20,92],"can":[21,168],"usually":[22,30],"find":[23,169],"moderate":[25],"number,":[27],"but":[28],"\u201cmoderate\u201d":[29],"may":[31],"not":[32],"be":[33],"the":[34,40,48,53,60,86,90,95,109,114,126,152,176,194],"\u201coptimal\u201d.":[35],"If":[36],"we":[37,68,144,167],"have":[38],"found":[39],"optimal":[41,91,106,171],"number":[43,173],"of":[44,88,104,108,141,154,157,162,198],"AP,":[45],"to":[46,135,150,160,192],"estimate":[47,175],"input":[49,110],"\u201cpreferences\u201d":[50,56,97,111,115,178],"(p)":[51,57,98,116,179],"and":[52,94,124,174,185,196],"effective":[54],"corresponding":[55,96,177],"interval":[58,99],"from":[59,138],"data":[61,183,188],"sets":[62,189],"hard.":[64],"In":[65,133],"this":[66],"paper,":[67],"propose":[69],"new":[71],"called":[73],"Automatically":[74],"Propagation":[76],"Clustering":[77],"(AAP).Our":[78],"AAP":[79,84],"method":[80],"absolutely":[82],"\u201cautomatic\u201d.":[83],"represents":[85],"issue":[87],"finding":[89],"an":[101],"optimization":[102],"problem":[103],"searching":[105],"solution":[107],"(p).AAP":[112],"searches":[113],"space":[117],"using":[118,129],"Particle":[119],"Swarm":[120],"Optimization":[121],"(PSO)":[122],"algorithm,":[123],"evaluates":[125],"particles\u2019":[127,155],"fitness":[128],"validation":[131],"indexes.":[132],"order":[134],"prevent":[136],"particles":[137],"flying":[139],"out":[140],"defined":[142],"region,":[143],"used":[145],"Boundary":[146],"Checking":[147],"(BC)":[148],"rule":[149],"check":[151],"validity":[153],"positions":[156],"PSO.":[158],"According":[159],"lots":[161],"AAP\u2019s":[163],"independent":[164],"runs":[165],"results,":[166],"AP\u2019s":[170],"interval.":[180],"One":[181],"artificial":[182],"set":[184],"several":[186],"real-world":[187],"are":[190],"presented":[191],"illustrate":[193],"simplicity":[195],"effectiveness":[197],"AAP.":[199]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
