{"id":"https://openalex.org/W2713961636","doi":"https://doi.org/10.1109/icassp.2017.7952643","title":"Evolutionary affinity propagation","display_name":"Evolutionary affinity propagation","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2713961636","doi":"https://doi.org/10.1109/icassp.2017.7952643","mag":"2713961636"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5064545091","display_name":"Natalia M. Arzeno","orcid":"https://orcid.org/0000-0003-3113-0409"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Natalia M. Arzeno","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067602750","display_name":"Haris Vikalo","orcid":"https://orcid.org/0000-0002-7945-4114"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haris Vikalo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064545091"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69519555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2681","last_page":"2685"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9976999759674072,"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":0.9976999759674072,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9787999987602234,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7627831697463989},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"Affinity propagation","score":0.7081435918807983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6437994241714478},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6019847989082336},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5643146634101868},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5174687504768372},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38150912523269653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37378811836242676},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36022791266441345},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.333902508020401},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30698803067207336},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.30528438091278076},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08330148458480835}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7627831697463989},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.7081435918807983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6437994241714478},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6019847989082336},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5643146634101868},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5174687504768372},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38150912523269653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37378811836242676},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36022791266441345},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.333902508020401},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30698803067207336},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.30528438091278076},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08330148458480835},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":30,"referenced_works":["https://openalex.org/W258053484","https://openalex.org/W1604980173","https://openalex.org/W1794961931","https://openalex.org/W1963737619","https://openalex.org/W1998819761","https://openalex.org/W2009086942","https://openalex.org/W2022651954","https://openalex.org/W2026667250","https://openalex.org/W2039786238","https://openalex.org/W2039944676","https://openalex.org/W2062580714","https://openalex.org/W2104990759","https://openalex.org/W2105979014","https://openalex.org/W2120669055","https://openalex.org/W2131471436","https://openalex.org/W2141685271","https://openalex.org/W2148727093","https://openalex.org/W2158249175","https://openalex.org/W2165232124","https://openalex.org/W2166610567","https://openalex.org/W2170337404","https://openalex.org/W2188305107","https://openalex.org/W2293546752","https://openalex.org/W3103599014","https://openalex.org/W3104117687","https://openalex.org/W3126003237","https://openalex.org/W4244030505","https://openalex.org/W6660476544","https://openalex.org/W6675574460","https://openalex.org/W6675897897"],"related_works":["https://openalex.org/W3022637481","https://openalex.org/W3144143113","https://openalex.org/W3120229345","https://openalex.org/W1999117613","https://openalex.org/W2393816671","https://openalex.org/W2065347048","https://openalex.org/W3147915011","https://openalex.org/W2355751005","https://openalex.org/W2085801246","https://openalex.org/W2141193698"],"abstract_inverted_index":{"Evolutionary":[0],"affinity":[1,70],"propagation,":[2],"an":[3],"evolutionary":[4,54,69],"clustering":[5,27,55],"algorithm":[6,21],"that":[7,57],"groups":[8],"data":[9,87],"points":[10],"by":[11,33],"exchanging":[12],"messages":[13],"on":[14,83],"a":[15],"factor":[16],"graph,":[17],"is":[18,43],"proposed.":[19],"The":[20],"promotes":[22],"temporal":[23,31],"smoothness":[24],"of":[25,37,45,67,75,92],"the":[26,38,65,73,93],"solutions":[28],"at":[29],"distinct":[30],"snapshots":[32],"linking":[34],"variable":[35],"nodes":[36],"graph":[39],"across":[40],"time,":[41],"and":[42,49,85,90],"capable":[44],"detecting":[46],"cluster":[47],"births":[48],"deaths.":[50],"Unlike":[51],"most":[52],"existing":[53,81],"methods":[56,82],"require":[58],"additional":[59],"processing":[60],"in":[61],"order":[62],"to":[63],"approximate":[64],"number":[66,74],"clusters,":[68],"propagation":[71],"determines":[72],"clusters":[76],"automatically.":[77],"A":[78],"comparison":[79],"with":[80],"simulated":[84],"experimental":[86],"demonstrates":[88],"accuracy":[89],"robustness":[91],"proposed":[94],"framework.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}