{"id":"https://openalex.org/W2073324007","doi":"https://doi.org/10.1109/ijcnn.2013.6706858","title":"Kernel spectral clustering for dynamic data using multiple kernel learning","display_name":"Kernel spectral clustering for dynamic data using multiple kernel learning","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2073324007","doi":"https://doi.org/10.1109/ijcnn.2013.6706858","mag":"2073324007"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2013.6706858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/123456789/402181","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062882562","display_name":"Diego H. Peluffo-Ord\u00f3\u0144ez","orcid":"https://orcid.org/0000-0002-9045-6997"},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":true,"raw_author_name":"D. Peluffo-Ordonez","raw_affiliation_strings":["Department of Electric Engineering, Electronics and Computer Science, Universidad Nacional de Colombia, Manizales","Dept. of Electr. Eng., Electron. & Comput. Sci., Univ. Nac. de Colombia, Bogota, Colombia"],"affiliations":[{"raw_affiliation_string":"Department of Electric Engineering, Electronics and Computer Science, Universidad Nacional de Colombia, Manizales","institution_ids":["https://openalex.org/I36243813"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Electron. & Comput. Sci., Univ. Nac. de Colombia, Bogota, Colombia","institution_ids":["https://openalex.org/I36243813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090075559","display_name":"Sergio Garc\u00eda-Vega","orcid":"https://orcid.org/0009-0003-8420-2194"},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"S. Garcia-Vega","raw_affiliation_strings":["Department of Electric Engineering, Electronics and Computer Science, Universidad Nacional de Colombia, Manizales","Dept. of Electr. Eng., Electron. & Comput. Sci., Univ. Nac. de Colombia, Bogota, Colombia"],"affiliations":[{"raw_affiliation_string":"Department of Electric Engineering, Electronics and Computer Science, Universidad Nacional de Colombia, Manizales","institution_ids":["https://openalex.org/I36243813"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Electron. & Comput. Sci., Univ. Nac. de Colombia, Bogota, Colombia","institution_ids":["https://openalex.org/I36243813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022628045","display_name":"Rocco Langone","orcid":"https://orcid.org/0000-0002-7583-7003"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"R. Langone","raw_affiliation_strings":["Katholieke Universiteit, Leuven, Belgium","Katholieke Univ. Leuven, Leuven, , Belgium"],"affiliations":[{"raw_affiliation_string":"Katholieke Universiteit, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Katholieke Univ. Leuven, Leuven, , Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078854904","display_name":"Johan A. K. Suykens","orcid":"https://orcid.org/0000-0002-8846-6352"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"J. A. K. Suykens","raw_affiliation_strings":["Katholieke Universiteit, Leuven, Belgium","Katholieke Univ. Leuven, Leuven, , Belgium"],"affiliations":[{"raw_affiliation_string":"Katholieke Universiteit, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Katholieke Univ. Leuven, Leuven, , Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080328620","display_name":"G. Castellanos-Dom\u00ednguez","orcid":"https://orcid.org/0000-0002-0138-5489"},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"G. Castellanos-Dominguez","raw_affiliation_strings":["Department of Electric Engineering, Electronics and Computer Science, Universidad Nacional de Colombia, Manizales","Dept. of Electr. Eng., Electron. & Comput. Sci., Univ. Nac. de Colombia, Bogota, Colombia"],"affiliations":[{"raw_affiliation_string":"Department of Electric Engineering, Electronics and Computer Science, Universidad Nacional de Colombia, Manizales","institution_ids":["https://openalex.org/I36243813"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Electron. & Comput. Sci., Univ. Nac. de Colombia, Bogota, Colombia","institution_ids":["https://openalex.org/I36243813"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062882562"],"corresponding_institution_ids":["https://openalex.org/I36243813"],"apc_list":null,"apc_paid":null,"fwci":2.8854,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91576277,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9954000115394592,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9954000115394592,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.991599977016449,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.7084275484085083},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6863913536071777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5991496443748474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5332809090614319},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.5290920734405518},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.5283397436141968},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.5125601291656494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5121748447418213},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5073422789573669},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.4741058945655823},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3463160991668701},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34104883670806885}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7084275484085083},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6863913536071777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5991496443748474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5332809090614319},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.5290920734405518},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.5283397436141968},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.5125601291656494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5121748447418213},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5073422789573669},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.4741058945655823},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3463160991668701},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34104883670806885},{"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/ijcnn.2013.6706858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/402181","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/402181","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IJCNN 2013, Dallas, USA, August 2013","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/402181","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/402181","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IJCNN 2013, Dallas, USA, August 2013","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W69841273","https://openalex.org/W173172529","https://openalex.org/W1505799091","https://openalex.org/W1606491534","https://openalex.org/W2006469537","https://openalex.org/W2014241185","https://openalex.org/W2027267547","https://openalex.org/W2078491286","https://openalex.org/W2081549451","https://openalex.org/W2105681109","https://openalex.org/W2116867084","https://openalex.org/W2134270401","https://openalex.org/W2142172505","https://openalex.org/W2152322845","https://openalex.org/W2166751192","https://openalex.org/W2502807922","https://openalex.org/W2539912446","https://openalex.org/W2616354903","https://openalex.org/W4235169531","https://openalex.org/W4241822132","https://openalex.org/W4285719527","https://openalex.org/W6630356995"],"related_works":["https://openalex.org/W3123056048","https://openalex.org/W2366185040","https://openalex.org/W1984421104","https://openalex.org/W2393746448","https://openalex.org/W4311138679","https://openalex.org/W2071590642","https://openalex.org/W2535206775","https://openalex.org/W1603091392","https://openalex.org/W4389251307","https://openalex.org/W2127229869"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,17,25,32,48,88,105],"kernel":[6,27,78,125],"spectral":[7,79,118],"clustering-based":[8],"technique":[9,86,154],"to":[10,87,104,143,155,162],"catch":[11],"the":[12,40,53,58,69,73,74,77,84,91,145,150],"different":[13],"regimes":[14],"experienced":[15],"by":[16,46,72],"time-varying":[18],"system.":[19],"Our":[20],"method":[21],"is":[22,31,44],"based":[23],"on":[24],"multiple":[26],"learning":[28],"approach,":[29],"which":[30],"linear":[33,41],"combination":[34,42],"of":[35,39,57,76,152],"kernels.":[36],"The":[37,132],"calculation":[38],"coefficients":[43],"done":[45],"determining":[47],"ranking":[49],"vector":[50,64],"that":[51],"quantifies":[52],"overall":[54],"dynamical":[55],"behavior":[56],"analyzed":[59],"data":[60],"sequence":[61],"over-time.":[62],"This":[63],"can":[65],"be":[66],"calculated":[67],"from":[68,90,97],"eigenvectors":[70],"provided":[71],"solution":[75],"clustering":[80,119,146],"problem.":[81],"We":[82],"apply":[83],"proposed":[85,153],"trial":[89],"Graphics":[92],"Lab":[93],"Motion":[94],"Capture":[95],"Database":[96],"Carnegie":[98],"Mellon":[99],"University,":[100],"as":[101,103],"well":[102],"synthetic":[106],"example,":[107],"namely":[108],"three":[109],"moving":[110],"Gaussian":[111],"clouds.":[112],"For":[113],"comparison":[114],"purposes,":[115],"some":[116],"conventional":[117],"techniques":[120],"are":[121,141],"also":[122],"considered,":[123],"namely,":[124],"k-means":[126],"and":[127,136],"min-cuts.":[128],"Also,":[129],"standard":[130],"k-means.":[131],"normalized":[133],"mutual":[134],"information":[135],"adjusted":[137],"random":[138],"index":[139],"metrics":[140],"used":[142],"quantify":[144],"performance.":[147],"Results":[148],"show":[149],"usefulness":[151],"track":[156],"dynamic":[157],"data,":[158],"even":[159],"being":[160],"able":[161],"detect":[163],"hidden":[164],"objects.":[165]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}