{"id":"https://openalex.org/W2013712253","doi":"https://doi.org/10.1007/s11263-008-0178-9","title":"Spectral Curvature Clustering (SCC)","display_name":"Spectral Curvature Clustering (SCC)","publication_year":2008,"publication_date":"2008-12-09","ids":{"openalex":"https://openalex.org/W2013712253","doi":"https://doi.org/10.1007/s11263-008-0178-9","mag":"2013712253"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-008-0178-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-008-0178-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-008-0178-9.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"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":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-008-0178-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101466169","display_name":"Guangliang Chen","orcid":"https://orcid.org/0000-0001-8334-3727"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guangliang Chen","raw_affiliation_strings":["School of Mathematics, University of Minnesota, 127 Vincent Hall, 206 Church Street SE, Minneapolis, MN 55455, USA","School of Mathematics, University of Minnesota, Minneapolis, USA MN 55455#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, University of Minnesota, 127 Vincent Hall, 206 Church Street SE, Minneapolis, MN 55455, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"School of Mathematics, University of Minnesota, Minneapolis, USA MN 55455#TAB#","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088795209","display_name":"Gilad Lerman","orcid":"https://orcid.org/0000-0003-4624-3115"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gilad Lerman","raw_affiliation_strings":["School of Mathematics, University of Minnesota, 127 Vincent Hall, 206 Church Street SE, Minneapolis, MN 55455, USA","School of Mathematics, University of Minnesota, Minneapolis, USA MN 55455#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, University of Minnesota, 127 Vincent Hall, 206 Church Street SE, Minneapolis, MN 55455, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"School of Mathematics, University of Minnesota, Minneapolis, USA MN 55455#TAB#","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101466169"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":14.5521,"has_fulltext":true,"cited_by_count":376,"citation_normalized_percentile":{"value":0.9918089,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"81","issue":"3","first_page":"317","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.7160086035728455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7079898118972778},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6829169988632202},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6806954145431519},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6458743214607239},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.6372743844985962},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5307811498641968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44870227575302124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42070138454437256},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39757588505744934},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3361678123474121},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24004802107810974}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7160086035728455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7079898118972778},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6829169988632202},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6806954145431519},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6458743214607239},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6372743844985962},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5307811498641968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44870227575302124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42070138454437256},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39757588505744934},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3361678123474121},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24004802107810974},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11263-008-0178-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-008-0178-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-008-0178-9.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"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":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11263-008-0178-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-008-0178-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-008-0178-9.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"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":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G2928366878","display_name":"Computational Methods for Exploring the Geometry of Large Data Sets","funder_award_id":"0612608","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320314997","display_name":"Strong","ror":"https://ror.org/041vyzr56"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2013712253.pdf","grobid_xml":"https://content.openalex.org/works/W2013712253.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W21892571","https://openalex.org/W1493914388","https://openalex.org/W1526695054","https://openalex.org/W1531698222","https://openalex.org/W1533128638","https://openalex.org/W1595501465","https://openalex.org/W1606778734","https://openalex.org/W1618155131","https://openalex.org/W2003361735","https://openalex.org/W2005676288","https://openalex.org/W2033476118","https://openalex.org/W2036835491","https://openalex.org/W2042465463","https://openalex.org/W2098646941","https://openalex.org/W2113339916","https://openalex.org/W2123649031","https://openalex.org/W2123921160","https://openalex.org/W2124583124","https://openalex.org/W2125742596","https://openalex.org/W2135685647","https://openalex.org/W2142782401","https://openalex.org/W2146610201","https://openalex.org/W2158579916","https://openalex.org/W2165874743","https://openalex.org/W2165916500","https://openalex.org/W2167680278","https://openalex.org/W2177347332","https://openalex.org/W2292988288","https://openalex.org/W2295046650","https://openalex.org/W3100713218","https://openalex.org/W3104590871","https://openalex.org/W4285719527","https://openalex.org/W6684578312","https://openalex.org/W6697064577"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W140666874","https://openalex.org/W2022655107","https://openalex.org/W2046316885","https://openalex.org/W2254112093","https://openalex.org/W4295628982"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"novel":[3],"techniques":[4],"for":[5,46,78,86],"improving":[6],"the":[7,19,43,59,68,72,106,109,144],"performance":[8,121],"of":[9,18,66,108,139,143],"a":[10,74,83,135],"multi-way":[11],"spectral":[12],"clustering":[13],"framework":[14],"(Govindu":[15],"in":[16,42,105],"Proceedings":[17],"2005":[20],"IEEE":[21],"Computer":[22,26],"Society":[23],"Conference":[24],"on":[25,134],"Vision":[27],"and":[28,38,100,122],"Pattern":[29],"Recognition":[30],"(CVPR\u201905),":[31],"vol.":[32],"1,":[33],"pp.":[34],"1150\u20131157,":[35],"2005;":[36],"Chen":[37],"Lerman,":[39],"2007,":[40],"preprint":[41],"supplementary":[44],"webpage)":[45],"segmenting":[47],"affine":[48,140],"subspaces.":[49,141],"Specifically,":[50],"it":[51,129],"suggests":[52],"an":[53,63],"iterative":[54],"sampling":[55,61],"procedure":[56,77],"to":[57,146],"improve":[58],"uniform":[60],"strategy,":[62],"automatic":[64],"scheme":[65],"inferring":[67],"tuning":[69],"parameter":[70],"from":[71],"data,":[73],"precise":[75],"initialization":[76],"K-means,":[79],"as":[80,82],"well":[81],"simple":[84],"strategy":[85],"isolating":[87],"outliers.":[88],"The":[89],"resulting":[90],"algorithm,":[91],"Spectral":[92],"Curvature":[93],"Clustering":[94],"(SCC),":[95],"requires":[96],"only":[97],"linear":[98,102],"storage":[99],"takes":[101],"running":[103],"time":[104],"size":[107],"data.":[110],"It":[111],"is":[112,150],"supported":[113],"by":[114],"theory":[115],"which":[116],"both":[117],"justifies":[118],"its":[119],"successful":[120],"guides":[123],"our":[124],"practical":[125],"choices.":[126],"We":[127],"compare":[128],"with":[130],"other":[131],"existing":[132],"methods":[133],"few":[136],"artificial":[137],"instances":[138],"Application":[142],"algorithm":[145],"several":[147],"real-world":[148],"problems":[149],"also":[151],"discussed.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":34},{"year":2018,"cited_by_count":43},{"year":2017,"cited_by_count":48},{"year":2016,"cited_by_count":32},{"year":2015,"cited_by_count":33},{"year":2014,"cited_by_count":31},{"year":2013,"cited_by_count":29},{"year":2012,"cited_by_count":17}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}