{"id":"https://openalex.org/W2086702001","doi":"https://doi.org/10.1080/01969720600683429","title":"ADAPTIVE HYPER-FUZZY PARTITION PARTICLE SWARM OPTIMIZATION CLUSTERING ALGORITHM","display_name":"ADAPTIVE HYPER-FUZZY PARTITION PARTICLE SWARM OPTIMIZATION CLUSTERING ALGORITHM","publication_year":2006,"publication_date":"2006-05-25","ids":{"openalex":"https://openalex.org/W2086702001","doi":"https://doi.org/10.1080/01969720600683429","mag":"2086702001"},"language":"en","primary_location":{"id":"doi:10.1080/01969720600683429","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720600683429","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","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/A5100302122","display_name":"Hsuan-Ming Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I16590763","display_name":"National Quemoy University","ror":"https://ror.org/0370v7d46","country_code":"TW","type":"education","lineage":["https://openalex.org/I16590763"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hsuan-Ming Feng","raw_affiliation_strings":["a   Department of Management Information , National Kinmen Institute of Technology ,  Taiwan ,  ROC","Department of Management Information , National Kinmen Institute of Technology , Taiwan , ROC"],"affiliations":[{"raw_affiliation_string":"a   Department of Management Information , National Kinmen Institute of Technology ,  Taiwan ,  ROC","institution_ids":["https://openalex.org/I16590763"]},{"raw_affiliation_string":"Department of Management Information , National Kinmen Institute of Technology , Taiwan , ROC","institution_ids":["https://openalex.org/I16590763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757468","display_name":"Ching\u2010Yi Chen","orcid":"https://orcid.org/0000-0001-6103-9468"},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Yi Chen","raw_affiliation_strings":["b   Department of Electrical Engineering , Tamkang University ,  Tamsui ,  Taiwan ,  ROC","Department of Electrical Engineering , Tamkang University , Tamsui , Taiwan , ROC"],"affiliations":[{"raw_affiliation_string":"b   Department of Electrical Engineering , Tamkang University ,  Tamsui ,  Taiwan ,  ROC","institution_ids":["https://openalex.org/I107470533"]},{"raw_affiliation_string":"Department of Electrical Engineering , Tamkang University , Tamsui , Taiwan , ROC","institution_ids":["https://openalex.org/I107470533"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017921700","display_name":"Fun Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fun Ye","raw_affiliation_strings":["b   Department of Electrical Engineering , Tamkang University ,  Tamsui ,  Taiwan ,  ROC","Department of Electrical Engineering , Tamkang University , Tamsui , Taiwan , ROC"],"affiliations":[{"raw_affiliation_string":"b   Department of Electrical Engineering , Tamkang University ,  Tamsui ,  Taiwan ,  ROC","institution_ids":["https://openalex.org/I107470533"]},{"raw_affiliation_string":"Department of Electrical Engineering , Tamkang University , Tamsui , Taiwan , ROC","institution_ids":["https://openalex.org/I107470533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100302122"],"corresponding_institution_ids":["https://openalex.org/I16590763"],"apc_list":null,"apc_paid":null,"fwci":3.1627,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.91845868,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"37","issue":"5","first_page":"463","last_page":"479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9950000047683716,"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":0.9950000047683716,"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/T10057","display_name":"Face and Expression Recognition","score":0.9887999892234802,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9825999736785889,"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":0.6230573058128357},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.5160755515098572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5118455290794373},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5018761157989502},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4981963634490967},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4672415554523468},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.4240337014198303},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4206935167312622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4157086908817291},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3999677300453186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39209994673728943},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3549707233905792},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3461993336677551},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.34556907415390015}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6230573058128357},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.5160755515098572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5118455290794373},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5018761157989502},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4981963634490967},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4672415554523468},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.4240337014198303},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4206935167312622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4157086908817291},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3999677300453186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39209994673728943},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3549707233905792},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3461993336677551},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.34556907415390015},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/01969720600683429","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720600683429","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"},{"id":"pmh:oai:tkuir.lib.tku.edu.tw:987654321/46353","is_oa":false,"landing_page_url":"https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/46353","pdf_url":null,"source":{"id":"https://openalex.org/S4406922698","display_name":"Tamkang University Institutional Repository (TKUIR)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1504827991","https://openalex.org/W1999075329","https://openalex.org/W2026789128","https://openalex.org/W2071965987","https://openalex.org/W2073849744","https://openalex.org/W2087828880","https://openalex.org/W2104109662","https://openalex.org/W2113076747","https://openalex.org/W2118587067","https://openalex.org/W2121647068","https://openalex.org/W2152195021","https://openalex.org/W2163163936","https://openalex.org/W2167638481","https://openalex.org/W2912565176","https://openalex.org/W3026285062","https://openalex.org/W4211007335"],"related_works":["https://openalex.org/W2399084168","https://openalex.org/W2373741815","https://openalex.org/W2358058270","https://openalex.org/W2797947728","https://openalex.org/W2363880636","https://openalex.org/W2892323093","https://openalex.org/W65020826","https://openalex.org/W2388975486","https://openalex.org/W2352963450","https://openalex.org/W2556490192"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"an":[3],"adaptive":[4,77,106],"hyper-fuzzy":[5,30,71,107],"partition":[6,31,72,108],"particle":[7,78,109],"swarm":[8,79,110],"optimization":[9,111],"clustering":[10,41,88,112,115],"algorithm":[11],"to":[12,33,62,75,85],"optimally":[13],"classify":[14],"different":[15],"geometrical":[16],"structure":[17],"data":[18,97],"sets":[19],"into":[20],"correct":[21],"groups.":[22],"In":[23],"this":[24],"architecture,":[25],"we":[26],"use":[27],"a":[28,91],"novel":[29],"metric":[32,40],"improve":[34],"the":[35,53,64,70,76,87,101,104],"traditional":[36],"common-used":[37],"Euclidean":[38],"norm":[39],"method.":[42],"Since":[43],"one":[44,48,56],"fuzzy":[45,67,123],"rule":[46],"describes":[47],"pattern":[49],"feature":[50],"and":[51,94,122],"implies":[52],"detection":[54],"of":[55,66,103],"cluster":[57],"center,":[58],"it":[59,81],"is":[60,82],"encouraged":[61],"decrease":[63],"number":[65],"rules":[68],"with":[69,120],"metric.":[73],"According":[74],"optimization,":[80],"very":[83],"suitable":[84],"manage":[86],"task":[89],"for":[90],"complex,":[92],"irregular,":[93],"high":[95],"dimensional":[96],"set.":[98],"To":[99],"demonstrate":[100],"robustness":[102],"proposed":[105],"algorithms,":[113],"various":[114],"simulations":[116],"are":[117],"experimentally":[118],"compared":[119],"K-means":[121],"c-means":[124],"learning":[125],"methods.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}