{"id":"https://openalex.org/W2900069527","doi":"https://doi.org/10.1109/access.2018.2880271","title":"An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE","display_name":"An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2900069527","doi":"https://doi.org/10.1109/access.2018.2880271","mag":"2900069527"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2880271","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2880271","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2880271","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004055512","display_name":"Lin Sun","orcid":"https://orcid.org/0000-0003-4917-7651"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Sun","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728390","display_name":"Ruonan Liu","orcid":"https://orcid.org/0000-0001-9963-7092"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruonan Liu","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014961410","display_name":"Jiucheng Xu","orcid":"https://orcid.org/0000-0003-1518-3623"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiucheng Xu","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058970337","display_name":"Shiguang Zhang","orcid":"https://orcid.org/0000-0001-5047-8481"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguang Zhang","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002734812","display_name":"Yun Tian","orcid":"https://orcid.org/0000-0001-5574-2325"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Tian","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004055512"],"corresponding_institution_ids":["https://openalex.org/I75955062"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.4465,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.92295848,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"68892","last_page":"68909"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"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/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9927999973297119,"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":0.7413186430931091},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6090019941329956},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5849932432174683},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"Affinity propagation","score":0.563471794128418},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5597472190856934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5250332355499268},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5116110444068909},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.5032913088798523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49350059032440186},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4885016679763794},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4571821689605713},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.43679213523864746},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.422539085149765},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.41879069805145264},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.41265982389450073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3719356060028076},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.20265841484069824}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7413186430931091},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6090019941329956},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5849932432174683},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.563471794128418},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5597472190856934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5250332355499268},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5116110444068909},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.5032913088798523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49350059032440186},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4885016679763794},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4571821689605713},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.43679213523864746},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.422539085149765},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.41879069805145264},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.41265982389450073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3719356060028076},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.20265841484069824},{"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:10.1109/access.2018.2880271","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2880271","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:50744cb837df404f8801532f58f6d01b","is_oa":true,"landing_page_url":"https://doaj.org/article/50744cb837df404f8801532f58f6d01b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 68892-68909 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2880271","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2880271","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1441924853","display_name":null,"funder_award_id":"61402153","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2308871390","display_name":null,"funder_award_id":"61370169","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4363906057","display_name":null,"funder_award_id":"qd15129","funder_id":"https://openalex.org/F4320311345","funder_display_name":"Henan Normal University"},{"id":"https://openalex.org/G5469367667","display_name":null,"funder_award_id":"qd15132","funder_id":"https://openalex.org/F4320311345","funder_display_name":"Henan Normal University"},{"id":"https://openalex.org/G6541767213","display_name":null,"funder_award_id":"182300410368","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"},{"id":"https://openalex.org/G6598058044","display_name":null,"funder_award_id":"2016M602247","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7504067323","display_name":null,"funder_award_id":"61772176","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7876993992","display_name":null,"funder_award_id":"61472042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8830237757","display_name":null,"funder_award_id":"182300410130","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"}],"funders":[{"id":"https://openalex.org/F4320311345","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W253228697","https://openalex.org/W1506588750","https://openalex.org/W1563088657","https://openalex.org/W1600471557","https://openalex.org/W1794961931","https://openalex.org/W1966994709","https://openalex.org/W1977556410","https://openalex.org/W1997201895","https://openalex.org/W1998871699","https://openalex.org/W2001141328","https://openalex.org/W2002466782","https://openalex.org/W2052570068","https://openalex.org/W2053186076","https://openalex.org/W2060446948","https://openalex.org/W2060479496","https://openalex.org/W2066995518","https://openalex.org/W2069401491","https://openalex.org/W2085003924","https://openalex.org/W2100495423","https://openalex.org/W2104933073","https://openalex.org/W2113242816","https://openalex.org/W2123822128","https://openalex.org/W2128728535","https://openalex.org/W2145152441","https://openalex.org/W2156718197","https://openalex.org/W2165232124","https://openalex.org/W2165835468","https://openalex.org/W2168103112","https://openalex.org/W2185939569","https://openalex.org/W2276016576","https://openalex.org/W2287979797","https://openalex.org/W2341229363","https://openalex.org/W2343075025","https://openalex.org/W2344659003","https://openalex.org/W2398841771","https://openalex.org/W2490420619","https://openalex.org/W2509842444","https://openalex.org/W2510546287","https://openalex.org/W2528704971","https://openalex.org/W2549966893","https://openalex.org/W2558362515","https://openalex.org/W2575552627","https://openalex.org/W2581016781","https://openalex.org/W2588460665","https://openalex.org/W2594465310","https://openalex.org/W2594485102","https://openalex.org/W2604727325","https://openalex.org/W2605641866","https://openalex.org/W2606032898","https://openalex.org/W2608475714","https://openalex.org/W2612317298","https://openalex.org/W2624661262","https://openalex.org/W2625743308","https://openalex.org/W2699597951","https://openalex.org/W2727530286","https://openalex.org/W2734337707","https://openalex.org/W2737994327","https://openalex.org/W2740426009","https://openalex.org/W2765452836","https://openalex.org/W2793014673","https://openalex.org/W2884474053","https://openalex.org/W2911964244","https://openalex.org/W2963483785","https://openalex.org/W6603183647","https://openalex.org/W6630208708","https://openalex.org/W6638058728","https://openalex.org/W6663627467","https://openalex.org/W6675634716","https://openalex.org/W6681535120","https://openalex.org/W6682755970","https://openalex.org/W6704151128"],"related_works":["https://openalex.org/W2366185040","https://openalex.org/W3100948281","https://openalex.org/W3123056048","https://openalex.org/W2958374823","https://openalex.org/W2393746448","https://openalex.org/W2081743126","https://openalex.org/W4311138679","https://openalex.org/W2071590642","https://openalex.org/W3013206934","https://openalex.org/W2005311689"],"abstract_inverted_index":{"Cluster":[0],"analysis":[1],"is":[2,21,77,103,112,135,152,174,202,218],"important":[3],"in":[4,204],"data":[5,30],"mining":[6],"and":[7,10,31,67,131,159,182,209],"clustering":[8,36,46,91,172,200,207],"algorithms":[9],"has":[11,115],"gained":[12],"much":[13],"attention":[14],"during":[15],"the":[16,61,72,81,84,99,127,132,140,144,148,165,169,211],"last":[17],"decade.":[18],"However,":[19],"it":[20,217],"a":[22,41,50,88,95,108,120,156,161],"challenge":[23],"to":[24,32,79,137,154],"extract":[25],"significant":[26],"features":[27],"from":[28],"high-dimensional":[29],"rapidly":[33],"provide":[34],"satisfactory":[35],"results.":[37],"This":[38],"paper":[39],"presents":[40],"new":[42,109],"affinity":[43],"propagation":[44],"(AP)":[45],"method":[47,92],"based":[48,93],"on":[49,94,176],"hybrid":[51,100,121,150],"kernel":[52,101,111,122,130,134,151],"function":[53,102,123],"with":[54,98,189,215],"locally":[55,73],"linear":[56,74],"embedding,":[57],"called":[58],"LLE-HKAP,":[59],"for":[60,187],"classification":[62],"of":[63,83,143,164,206],"gene":[64,179],"expression":[65,180],"datasets":[66,181,186],"standard":[68,184],"UCI":[69,185],"datasets.":[70],"First,":[71],"embedding":[75],"algorithm":[76,173,201],"used":[78],"reduce":[80],"dimension":[82],"original":[85],"dataset.":[86],"Then,":[87],"novel":[89,149],"AP":[90,166,171],"similarity":[96,157,162],"measure":[97,158],"proposed.":[104],"In":[105],"this":[106],"method,":[107],"global":[110,129,145],"defined":[113,136],"that":[114,124,197],"high":[116],"generalization":[117],"ability.":[118],"Meanwhile,":[119],"linearly":[125],"combines":[126],"proposed":[128,199],"Gaussian":[133],"further":[138],"enhance":[139],"learning":[141],"ability":[142],"kernel.":[146],"Moreover,":[147],"introduced":[153],"define":[155],"construct":[160],"matrix":[163],"clustering.":[167],"Finally,":[168],"improved":[170],"implemented":[175],"eight":[177,183],"public":[178],"comparison":[188],"other":[190],"related":[191],"algorithms.":[192],"The":[193],"experimental":[194],"results":[195],"validate":[196],"our":[198],"efficient":[203],"terms":[205],"accuracy":[208],"outperforms":[210],"currently":[212],"available":[213],"approaches":[214],"which":[216],"compared.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":13}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}