{"id":"https://openalex.org/W1999524966","doi":"https://doi.org/10.1109/ijcnn.2014.6889518","title":"Shrank Support Vector Clustering","display_name":"Shrank Support Vector Clustering","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1999524966","doi":"https://doi.org/10.1109/ijcnn.2014.6889518","mag":"1999524966"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5102735453","display_name":"Ping Ling","orcid":"https://orcid.org/0000-0002-9509-7743"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Ling","raw_affiliation_strings":["College of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China","College of Computer Science and Technology, Jiangsu Normal University, Xuzhou , China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China","institution_ids":["https://openalex.org/I118574674"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jiangsu Normal University, Xuzhou , China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018009903","display_name":"Xiangsheng Rong","orcid":"https://orcid.org/0000-0001-6189-7913"},"institutions":[{"id":"https://openalex.org/I4210140789","display_name":"Second Affiliated Hospital of Xuzhou Medical College","ror":"https://ror.org/04yrcjm56","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140789"]},{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangsheng Rong","raw_affiliation_strings":["Department of Training, Air Force Logistics of P. L. A, Xuzhou, China","Dept. of Training, Air Force Logistics of P. L. A, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Training, Air Force Logistics of P. L. A, Xuzhou, China","institution_ids":["https://openalex.org/I177388780","https://openalex.org/I4210140789"]},{"raw_affiliation_string":"Dept. of Training, Air Force Logistics of P. L. A, Xuzhou, China","institution_ids":["https://openalex.org/I177388780","https://openalex.org/I4210140789"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057769864","display_name":"Guosheng Hao","orcid":"https://orcid.org/0000-0002-5962-0832"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guosheng Hao","raw_affiliation_strings":["College of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China","College of Computer Science and Technology, Jiangsu Normal University, Xuzhou , China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China","institution_ids":["https://openalex.org/I118574674"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jiangsu Normal University, Xuzhou , China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035411921","display_name":"Yongquan Dong","orcid":"https://orcid.org/0000-0001-8460-7034"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongquan Dong","raw_affiliation_strings":["College of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China","College of Computer Science and Technology, Jiangsu Normal University, Xuzhou , China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China","institution_ids":["https://openalex.org/I118574674"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jiangsu Normal University, Xuzhou , China","institution_ids":["https://openalex.org/I118574674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102735453"],"corresponding_institution_ids":["https://openalex.org/I118574674"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07387895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"23","issue":null,"first_page":"452","last_page":"459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9937999844551086,"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":0.9937999844551086,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9937000274658203,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9857000112533569,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8061835765838623},{"id":"https://openalex.org/keywords/hypersphere","display_name":"Hypersphere","score":0.7811951637268066},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6617693901062012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6542590260505676},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4792992174625397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4671330749988556},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.4541463553905487},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4128096103668213},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4030103385448456},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3852601647377014},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31362831592559814},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18866926431655884}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8061835765838623},{"id":"https://openalex.org/C2776562905","wikidata":"https://www.wikidata.org/wiki/Q306610","display_name":"Hypersphere","level":2,"score":0.7811951637268066},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6617693901062012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6542590260505676},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4792992174625397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4671330749988556},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.4541463553905487},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4128096103668213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4030103385448456},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3852601647377014},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31362831592559814},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18866926431655884},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1518004190","https://openalex.org/W1538776211","https://openalex.org/W1564950490","https://openalex.org/W1574862351","https://openalex.org/W1611682757","https://openalex.org/W1667072054","https://openalex.org/W1943383135","https://openalex.org/W1967740503","https://openalex.org/W1992936075","https://openalex.org/W1997139757","https://openalex.org/W2002827932","https://openalex.org/W2054039029","https://openalex.org/W2084036798","https://openalex.org/W2086824176","https://openalex.org/W2096142412","https://openalex.org/W2100038678","https://openalex.org/W2100294832","https://openalex.org/W2100556472","https://openalex.org/W2105120842","https://openalex.org/W2132870739","https://openalex.org/W2141762635","https://openalex.org/W2151398376","https://openalex.org/W2152055456","https://openalex.org/W2164641162","https://openalex.org/W2165874743","https://openalex.org/W3112020351","https://openalex.org/W6634328381","https://openalex.org/W6636657728","https://openalex.org/W6681115421","https://openalex.org/W6683984541","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W2099702253","https://openalex.org/W347275077","https://openalex.org/W1983643426","https://openalex.org/W2128638617","https://openalex.org/W2142265066","https://openalex.org/W2014235090","https://openalex.org/W2787396923","https://openalex.org/W4301075504","https://openalex.org/W2886321183","https://openalex.org/W2963848714"],"abstract_inverted_index":{"Compared":[0],"with":[1,219],"Support":[2,13,68],"Vector":[3,14,69],"Machine":[4],"(SVM)":[5],"that":[6,34,73,94,158],"has":[7],"shown":[8],"success":[9],"in":[10,53,91,161,184,195],"classification":[11],"tasks,":[12],"Clustering":[15,70],"(SVC)":[16],"is":[17,30,37,111,129,150,159,173],"not":[18],"widely":[19],"viewed":[20],"as":[21],"a":[22,66,88,107,133,142,165,185],"competitor":[23],"to":[24,32,77,113,141,152,163],"popular":[25],"clustering":[26,202],"algorithms.":[27],"The":[28,123,169],"reason":[29],"easy":[31],"state":[33,221],"classical":[35],"SVC":[36,162,196],"of":[38,46,49,105,125,178,222],"high":[39],"cost":[40],"and":[41,118,182,199,209,214],"moderate":[42],"performance.":[43],"In":[44,82,101],"spite":[45],"ever-appearing":[47],"variants":[48],"SVC,":[50],"they":[51],"fail":[52],"solving":[54],"two":[55,61,79],"problems":[56],"well.":[57],"Focusing":[58],"on":[59,175],"these":[60],"problems,":[62],"this":[63],"paper":[64],"proposes":[65],"Shrunk":[67],"(SSVC)":[71],"algorithm":[72],"makes":[74],"an":[75],"effort":[76],"address":[78],"difficulties":[80],"simultaneously.":[81],"the":[83,102,126,154,179,192,220,223],"optimization":[84,167],"piece":[85,104,198],"SSVC":[86],"pursues":[87],"shrunk":[89,127,180],"hypersphere":[90,128],"feature":[92],"space":[93],"only":[95],"dense-region":[96],"data":[97],"are":[98],"included":[99],"in.":[100],"labeling":[103,109,171,197],"SSVC,":[106],"new":[108,170],"approach":[110,172],"designed":[112],"cluster":[114],"support":[115],"vectors":[116],"firstly,":[117],"then":[119,200],"label":[120],"other":[121],"data.":[122],"development":[124],"implemented":[130],"by":[131],"optimizing":[132],"strongly":[134],"convex":[135],"objective,":[136],"which":[137],"can":[138],"be":[139],"converted":[140],"linear":[143],"equation":[144],"system.":[145],"A":[146],"fast":[147],"training":[148],"method":[149],"given":[151],"reduce":[153],"heavy":[155],"computation":[156],"burden":[157],"necessary":[160],"solve":[164],"quadratic":[166],"problem.":[168],"based":[174],"geometric":[176],"nature":[177],"model":[181],"works":[183],"simple":[186],"but":[187],"informed":[188],"way.":[189],"That":[190],"removes":[191],"randomness":[193],"encoded":[194],"improves":[201],"accuracy.":[203],"Experiments":[204],"indicate":[205],"SSVC's":[206],"better":[207],"performance":[208],"efficiency":[210],"than":[211],"its":[212],"peers":[213],"much":[215],"appealing":[216],"facility":[217],"compared":[218],"art.":[224]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}