{"id":"https://openalex.org/W1661344676","doi":"https://doi.org/10.1109/ijcnn.2015.7280489","title":"A hierarchical SVM based multiclass classification by using similarity clustering","display_name":"A hierarchical SVM based multiclass classification by using similarity clustering","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1661344676","doi":"https://doi.org/10.1109/ijcnn.2015.7280489","mag":"1661344676"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2015.7280489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5048708984","display_name":"Chao Dong","orcid":"https://orcid.org/0000-0002-4922-7762"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chao Dong","raw_affiliation_strings":["Graduate School of Information Production and System, Waseda University, Fukuoka, Japan","Graduate School of Information, Production and System, Waseda University, Fukuoka, Japan 808-0135#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Production and System, Waseda University, Fukuoka, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of Information, Production and System, Waseda University, Fukuoka, Japan 808-0135#TAB#","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101442102","display_name":"Bo Zhou","orcid":"https://orcid.org/0000-0002-7824-3673"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Bo Zhou","raw_affiliation_strings":["Graduate School of Information Production and System, Waseda University, Fukuoka, Japan","Graduate School of Information, Production and System, Waseda University, Fukuoka, Japan 808-0135#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Production and System, Waseda University, Fukuoka, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of Information, Production and System, Waseda University, Fukuoka, Japan 808-0135#TAB#","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326923","display_name":"Jinglu Hu","orcid":"https://orcid.org/0000-0002-5601-7261"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jinglu Hu","raw_affiliation_strings":["Graduate School of Information Production and System, Waseda University, Fukuoka, Japan","Graduate School of Information, Production and System, Waseda University, Fukuoka, Japan 808-0135#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Production and System, Waseda University, Fukuoka, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of Information, Production and System, Waseda University, Fukuoka, Japan 808-0135#TAB#","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":2.8969,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90541262,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9789000153541565,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6518356800079346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6375990509986877},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.6158877015113831},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6102221012115479},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.598619282245636},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.5962531566619873},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5927828550338745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5615522265434265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5136067867279053},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.5111063122749329},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47819235920906067},{"id":"https://openalex.org/keywords/hierarchical-clustering-of-networks","display_name":"Hierarchical clustering of networks","score":0.47458338737487793},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.43401941657066345},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4142535328865051},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32650524377822876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26515626907348633},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.2634389400482178},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.19313594698905945},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16350266337394714}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6518356800079346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6375990509986877},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.6158877015113831},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6102221012115479},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.598619282245636},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.5962531566619873},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5927828550338745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5615522265434265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5136067867279053},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.5111063122749329},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47819235920906067},{"id":"https://openalex.org/C82261393","wikidata":"https://www.wikidata.org/wiki/Q17038699","display_name":"Hierarchical clustering of networks","level":5,"score":0.47458338737487793},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.43401941657066345},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4142535328865051},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32650524377822876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26515626907348633},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.2634389400482178},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.19313594698905945},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16350266337394714},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2015.7280489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2058452289","https://openalex.org/W2084812512","https://openalex.org/W2103596317","https://openalex.org/W2126326837","https://openalex.org/W2136251662","https://openalex.org/W2142334564","https://openalex.org/W2148603752","https://openalex.org/W2153635508","https://openalex.org/W2154011849","https://openalex.org/W2157239837","https://openalex.org/W2157791002","https://openalex.org/W2166364246","https://openalex.org/W2167139585","https://openalex.org/W2168228682","https://openalex.org/W3004533406","https://openalex.org/W3163638146","https://openalex.org/W6671611538","https://openalex.org/W6682894835","https://openalex.org/W6682953061","https://openalex.org/W6683380652","https://openalex.org/W6795924076"],"related_works":["https://openalex.org/W4292477917","https://openalex.org/W2379037722","https://openalex.org/W1597862883","https://openalex.org/W2140131129","https://openalex.org/W2034251629","https://openalex.org/W2534504385","https://openalex.org/W1602287844","https://openalex.org/W2079000291","https://openalex.org/W2898752095","https://openalex.org/W3035714756"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,16,46,74,144],"new":[4],"strategy":[5],"to":[6,45,61,64,72,82],"build":[7],"multi":[8,47,52,75],"tree":[9,43,48,53],"hierarchical":[10,54],"structure":[11,44],"SVM":[12,33],"which":[13,40],"can":[14,92,132],"get":[15,73,143],"more":[17],"efficient":[18],"and":[19,142],"accuracy":[20],"classification":[21,102],"model":[22],"for":[23],"multiclass":[24],"problems.":[25],"Base":[26],"on":[27,124],"the":[28,51,101,107,134,139],"theory":[29],"of":[30,104,136],"Binary":[31],"Tree":[32],"(BTS),":[34],"we":[35],"proposed":[36,60,90],"an":[37],"improvement":[38],"algorithm":[39],"extend":[41],"binary":[42],"structure,":[49,55],"In":[50,70],"similarity":[56],"clustering":[57],"method":[58,91,131],"was":[59,80],"cluster":[62],"classes":[63],"groups":[65,85],"in":[66,98,106,114,138],"each":[67],"non-leaf":[68],"node.":[69],"order":[71],"node":[76],"division,":[77],"one-against-all":[78],"(OAA)":[79],"applied":[81],"train":[83],"those":[84],"rather":[86],"than":[87,112],"classes.":[88],"The":[89],"avoid":[93],"data":[94,126],"imbalanced":[95],"problem":[96],"occurred":[97],"OAA,":[99],"also":[100],"area":[103],"classifier":[105,113],"upper":[108],"layer":[109],"is":[110],"larger":[111],"lower":[115],"layer.":[116],"Compared":[117],"with":[118],"other":[119],"several":[120],"well-known":[121],"methods,":[122],"experiments":[123],"many":[125],"sets":[127],"demonstrate":[128],"that":[129],"our":[130],"reduce":[133],"number":[135],"classifiers":[137],"testing":[140],"phase":[141],"higher":[145],"accuracy.":[146]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
