{"id":"https://openalex.org/W2073882330","doi":"https://doi.org/10.1109/cdc.2012.6425894","title":"Clustering large networks of parametric dynamic generative models","display_name":"Clustering large networks of parametric dynamic generative models","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2073882330","doi":"https://doi.org/10.1109/cdc.2012.6425894","mag":"2073882330"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2012.6425894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2012.6425894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","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/A5062024022","display_name":"Yunwen Xu","orcid":"https://orcid.org/0000-0001-5165-3026"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunwen Xu","raw_affiliation_strings":["University of Illinois, Urbana-Champaign, Urbana, IL, USA","University of Illinois at Urbana\u2013Champaign, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois, Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana\u2013Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006260768","display_name":"Sanggyun Kim","orcid":"https://orcid.org/0000-0002-0620-3090"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanggyun Kim","raw_affiliation_strings":["UCSD, San Diego, CA, USA","ucsd, san diego, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCSD, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"ucsd, san diego, CA, USA#TAB#","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051680600","display_name":"Srinivasa M. Salapaka","orcid":"https://orcid.org/0000-0002-3259-6027"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srinivasa M. Salapaka","raw_affiliation_strings":["University of Illinois, Urbana-Champaign, Urbana, IL, USA","University of Illinois at Urbana\u2013Champaign, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois, Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana\u2013Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043282337","display_name":"Carolyn L. Beck","orcid":"https://orcid.org/0000-0003-4880-6380"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carolyn L. Beck","raw_affiliation_strings":["University of Illinois, Urbana-Champaign, Urbana, IL, USA","University of Illinois at Urbana\u2013Champaign, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois, Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana\u2013Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046582466","display_name":"Todd P. Coleman","orcid":"https://orcid.org/0000-0002-2144-2495"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Todd P. Coleman","raw_affiliation_strings":["UCSD, San Diego, CA, USA","ucsd, san diego, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCSD, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"ucsd, san diego, CA, USA#TAB#","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":null,"first_page":"5248","last_page":"5253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9592999815940857,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9261999726295471,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.7441584467887878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6986601948738098},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.6543062925338745},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6354173421859741},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6310644745826721},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.49401503801345825},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46784552931785583},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4622175097465515},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4563884735107422},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.44910264015197754},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.4487607777118683},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4309827983379364},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3793236017227173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3792881369590759},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.372914582490921},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1464044153690338},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12107855081558228}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7441584467887878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6986601948738098},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.6543062925338745},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6354173421859741},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6310644745826721},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.49401503801345825},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46784552931785583},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4622175097465515},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4563884735107422},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.44910264015197754},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.4487607777118683},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4309827983379364},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3793236017227173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3792881369590759},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.372914582490921},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1464044153690338},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12107855081558228},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/cdc.2012.6425894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2012.6425894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","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":24,"referenced_works":["https://openalex.org/W1544366620","https://openalex.org/W1970786657","https://openalex.org/W1972141748","https://openalex.org/W1991266025","https://openalex.org/W2028944227","https://openalex.org/W2045786410","https://openalex.org/W2064758233","https://openalex.org/W2066009496","https://openalex.org/W2068365976","https://openalex.org/W2077085434","https://openalex.org/W2093969547","https://openalex.org/W2101567517","https://openalex.org/W2128005148","https://openalex.org/W2137604611","https://openalex.org/W2150605640","https://openalex.org/W2155264731","https://openalex.org/W2161877964","https://openalex.org/W2172053542","https://openalex.org/W2178225550","https://openalex.org/W2463491991","https://openalex.org/W3098882371","https://openalex.org/W4233547670","https://openalex.org/W4302856910","https://openalex.org/W6845640053"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W3174044702","https://openalex.org/W2967848559","https://openalex.org/W4299831724"],"abstract_inverted_index":{"Analysis,":[0],"prediction":[1],"and":[2,22],"control":[3],"of":[4,26,41,50,96,110,113],"parametric":[5,51],"generative":[6,97],"models":[7,52,116],"for":[8,117],"stochastic":[9,42,55],"processes":[10,60,91],"arise":[11],"in":[12,17,66,77],"numerous":[13],"applications,":[14,28],"such":[15],"as":[16],"biology,":[18],"telecommunications,":[19],"geography,":[20],"seismology":[21],"finance.":[23],"In":[24],"many":[25],"these":[27],"it":[29],"is":[30,75],"desirable":[31],"to":[32],"obtain":[33],"an":[34,38,67,106],"aggregated":[35],"behavior":[36],"from":[37],"underlying":[39],"network":[40],"interactions.":[43],"This":[44],"paper":[45],"focuses":[46],"on":[47],"the":[48,59,78,81,86],"simplification":[49],"describing":[53],"multiple":[54],"processes,":[56],"by":[57,93],"aggregating":[58],"that":[61,80],"have":[62],"similar":[63],"input-output":[64],"behaviors":[65],"ensemble.":[68],"We":[69],"propose":[70],"a":[71,94,111],"clustering-based":[72],"method,":[73],"which":[74,85],"general":[76],"sense":[79],"similarity":[82],"metric":[83],"upon":[84],"aggregation":[87,102],"relies":[88],"can":[89],"accommodate":[90],"characterized":[92],"variety":[95],"models.":[98],"To":[99],"illustrate":[100],"our":[101],"framework,":[103],"we":[104],"investigate":[105],"example":[107],"system":[108],"comprised":[109],"set":[112],"point":[114],"process":[115],"earthquakes.":[118],"Simulations":[119],"are":[120],"presented.":[121]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}