{"id":"https://openalex.org/W2989206435","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443311","title":"Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization","display_name":"Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W2989206435","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443311","mag":"2989206435"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.00958","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006624933","display_name":"Alexander Jung","orcid":"https://orcid.org/0000-0001-7538-0990"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Alexander Jung","raw_affiliation_strings":["Department of Computer Science, Aalto University, Espoo, Finland","Aalto University,Department of Computer Science,,Espoo,,Finland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Aalto University,Department of Computer Science,,Espoo,,Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006624933"],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":0.1342,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40187102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"731","last_page":"735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9990000128746033,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9983999729156494,"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/T11106","display_name":"Data Management and Algorithms","score":0.9919000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8457796573638916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6291524171829224},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.6145428419113159},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.598798930644989},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5851846933364868},{"id":"https://openalex.org/keywords/stochastic-block-model","display_name":"Stochastic block model","score":0.5502276420593262},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5017931461334229},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4682881236076355},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46460646390914917},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4434286057949066},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.4314723610877991},{"id":"https://openalex.org/keywords/block-model","display_name":"Block model","score":0.4113163948059082},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2956601083278656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2052341103553772},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09570038318634033},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05794411897659302}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8457796573638916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6291524171829224},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.6145428419113159},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.598798930644989},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5851846933364868},{"id":"https://openalex.org/C2779982251","wikidata":"https://www.wikidata.org/wiki/Q25053762","display_name":"Stochastic block model","level":3,"score":0.5502276420593262},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5017931461334229},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4682881236076355},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46460646390914917},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4434286057949066},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.4314723610877991},{"id":"https://openalex.org/C2993597952","wikidata":"https://www.wikidata.org/wiki/Q108123644","display_name":"Block model","level":2,"score":0.4113163948059082},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2956601083278656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2052341103553772},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09570038318634033},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05794411897659302},{"id":"https://openalex.org/C16674752","wikidata":"https://www.wikidata.org/wiki/Q1370637","display_name":"Mining engineering","level":1,"score":0.0},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1911.00958","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.00958","pdf_url":"https://arxiv.org/pdf/1911.00958","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2989206435","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1911.00958v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1911.00958","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1911.00958","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.00958","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.00958","pdf_url":"https://arxiv.org/pdf/1911.00958","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2989206435.pdf","grobid_xml":"https://content.openalex.org/works/W2989206435.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1559582792","https://openalex.org/W1973207991","https://openalex.org/W2017199625","https://openalex.org/W2058653097","https://openalex.org/W2127048411","https://openalex.org/W2130025413","https://openalex.org/W2302571361","https://openalex.org/W2340006107","https://openalex.org/W2406823926","https://openalex.org/W2559839022","https://openalex.org/W2625392636","https://openalex.org/W2891700284","https://openalex.org/W2953257534","https://openalex.org/W2963349819","https://openalex.org/W2963571610","https://openalex.org/W2963974511","https://openalex.org/W2964089577","https://openalex.org/W2984694370","https://openalex.org/W3101273398","https://openalex.org/W3101919829","https://openalex.org/W3123255541","https://openalex.org/W4206039841","https://openalex.org/W4230627818","https://openalex.org/W4238452917","https://openalex.org/W4250589301","https://openalex.org/W4294576854","https://openalex.org/W6640570641","https://openalex.org/W6697421415","https://openalex.org/W6724984997","https://openalex.org/W6735855921","https://openalex.org/W6766301470"],"related_works":["https://openalex.org/W3170315738","https://openalex.org/W2134725327","https://openalex.org/W2103696938","https://openalex.org/W2186766111","https://openalex.org/W2171108520","https://openalex.org/W2900081692","https://openalex.org/W2085197805","https://openalex.org/W203142680","https://openalex.org/W27762437","https://openalex.org/W2767552667","https://openalex.org/W2803988982","https://openalex.org/W2945152377","https://openalex.org/W2142018125","https://openalex.org/W3122892896","https://openalex.org/W2612232036","https://openalex.org/W331788287","https://openalex.org/W2383396191","https://openalex.org/W569672973","https://openalex.org/W3180160304","https://openalex.org/W2165187708"],"abstract_inverted_index":{"A":[0],"main":[1],"task":[2],"in":[3,59],"data":[4,9,57,80],"analysis":[5],"is":[6,20],"to":[7,72],"organize":[8],"points":[10],"into":[11],"coherent":[12],"groups":[13],"or":[14],"clusters.":[15,44],"The":[16],"stochastic":[17,67],"block":[18,68],"model":[19,23,29,114],"a":[21,39,64,88,101,110],"probabilistic":[22],"for":[24,33,53,90,122],"the":[25,34,48,74,78,96,113],"cluster":[26,40,49,75],"structure.":[27],"This":[28],"prescribes":[30],"different":[31,43],"probabilities":[32],"presence":[35],"of":[36,77],"edges":[37],"within":[38],"and":[41],"between":[42],"We":[45,82,94,107],"assume":[46],"that":[47,117],"assignments":[50,76],"are":[51],"known":[52],"at":[54],"least":[55],"one":[56],"point":[58],"each":[60],"cluster.":[61],"In":[62],"such":[63,116],"partially":[65],"labeled":[66],"model,":[69],"clustering":[70,92,98],"amounts":[71],"estimating":[73],"remaining":[79],"points.":[81],"study":[83],"total":[84,118],"variation":[85,119],"minimization":[86,120],"as":[87,100],"method":[89],"this":[91],"task.":[93],"implement":[95],"resulting":[97],"algorithm":[99],"highly":[102],"scalable":[103],"message":[104],"passing":[105],"protocol.":[106],"also":[108],"provide":[109],"condition":[111],"on":[112],"parameters":[115],"allows":[121],"accurate":[123],"clustering.":[124]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}