{"id":"https://openalex.org/W1589475459","doi":"https://doi.org/10.1007/11881070_26","title":"Robust LS-SVM Regression Using Fuzzy C-Means Clustering","display_name":"Robust LS-SVM Regression Using Fuzzy C-Means Clustering","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W1589475459","doi":"https://doi.org/10.1007/11881070_26","mag":"1589475459"},"language":"en","primary_location":{"id":"doi:10.1007/11881070_26","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11881070_26","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5104362525","display_name":"Jooyong Shim","orcid":"https://orcid.org/0000-0003-2828-9232"},"institutions":[{"id":"https://openalex.org/I39705031","display_name":"Daegu Catholic University","ror":"https://ror.org/04fxknd68","country_code":"KR","type":"education","lineage":["https://openalex.org/I39705031"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jooyong Shim","raw_affiliation_strings":["Department of Applied Statistics, Catholic University of Daegu, Kyungbuk, 702-701, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Statistics, Catholic University of Daegu, Kyungbuk, 702-701, South Korea","institution_ids":["https://openalex.org/I39705031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041575206","display_name":"Changha Hwang","orcid":"https://orcid.org/0000-0003-1262-5051"},"institutions":[{"id":"https://openalex.org/I89015989","display_name":"Dankook University","ror":"https://ror.org/058pdbn81","country_code":"KR","type":"education","lineage":["https://openalex.org/I89015989"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Changha Hwang","raw_affiliation_strings":["Division of Information and Computer Science, Dankook University, Seoul,Yongsan, 140-714, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Information and Computer Science, Dankook University, Seoul,Yongsan, 140-714, South Korea","institution_ids":["https://openalex.org/I89015989"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036290357","display_name":"Sung-Kyun Nau","orcid":null},"institutions":[{"id":"https://openalex.org/I89015989","display_name":"Dankook University","ror":"https://ror.org/058pdbn81","country_code":"KR","type":"education","lineage":["https://openalex.org/I89015989"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungkyun Nau","raw_affiliation_strings":["Division of Information and Computer Science, Dankook University, Seoul,Yongsan, 140-714, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Information and Computer Science, Dankook University, Seoul,Yongsan, 140-714, South Korea","institution_ids":["https://openalex.org/I89015989"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.8128,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.66675577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"157","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9972000122070312,"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":0.9972000122070312,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9625999927520752,"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/T10320","display_name":"Neural Networks and Applications","score":0.9603000283241272,"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/support-vector-machine","display_name":"Support vector machine","score":0.8718303442001343},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.6779064536094666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5653085708618164},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5537682771682739},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5332738161087036},{"id":"https://openalex.org/keywords/robust-regression","display_name":"Robust regression","score":0.5179978013038635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5053747296333313},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4752064645290375},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.47436508536338806},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.4628618657588959},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.43033599853515625},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.40993642807006836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4088839888572693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3874641954898834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.334393709897995},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2772860527038574},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2185182273387909}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8718303442001343},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.6779064536094666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5653085708618164},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5537682771682739},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5332738161087036},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.5179978013038635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5053747296333313},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4752064645290375},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.47436508536338806},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.4628618657588959},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.43033599853515625},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.40993642807006836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4088839888572693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3874641954898834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.334393709897995},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2772860527038574},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2185182273387909},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/11881070_26","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11881070_26","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W101663867","https://openalex.org/W1596717185","https://openalex.org/W1990368529","https://openalex.org/W1995558350","https://openalex.org/W2014158063","https://openalex.org/W2113076747","https://openalex.org/W2140494000","https://openalex.org/W2156909104","https://openalex.org/W2247424228","https://openalex.org/W2256588869"],"related_works":["https://openalex.org/W4327850327","https://openalex.org/W4297675723","https://openalex.org/W2467163588","https://openalex.org/W3134460536","https://openalex.org/W2167711152","https://openalex.org/W2368947495","https://openalex.org/W2377953468","https://openalex.org/W2337520748","https://openalex.org/W2096504223","https://openalex.org/W2068783850"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
