{"id":"https://openalex.org/W2793459841","doi":null,"title":"Clustering with Simultaneous Local and Global View of Data: A message passing based approach.","display_name":"Clustering with Simultaneous Local and Global View of Data: A message passing based approach.","publication_year":2018,"publication_date":"2018-03-12","ids":{"openalex":"https://openalex.org/W2793459841","mag":"2793459841"},"language":"en","primary_location":{"id":"mag:2793459841","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1803.04459.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1803.04459.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054085787","display_name":"Rayyan Ahmad Khan","orcid":"https://orcid.org/0000-0002-1860-0464","observed_orcids":["https://orcid.org/0000-0002-1860-0464"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rayyan Ahmad Khan","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1860-0464","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041689212","display_name":"Rana Ali Amjad","orcid":"https://orcid.org/0000-0002-0007-4697","observed_orcids":["https://orcid.org/0000-0002-0007-4697"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rana Ali Amjad","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0007-4697","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5055847035","display_name":"Martin Kleinsteuber","orcid":"https://orcid.org/0000-0002-4323-9260","observed_orcids":["https://orcid.org/0000-0002-4323-9260"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Kleinsteuber","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4323-9260","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.9994999766349792,"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":0.9994999766349792,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":9.999999747378752e-05,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/clustering","display_name":"clustering","score":0.8259999752044678},{"id":"https://openalex.org/keywords/factor-graphs","display_name":"factor graphs","score":0.7929999828338623},{"id":"https://openalex.org/keywords/message-passing","display_name":"message passing","score":0.9580000042915344},{"id":"https://openalex.org/keywords/arbitrary-shaped-clusters","display_name":"arbitrary-shaped clusters","score":0.6470000147819519},{"id":"https://openalex.org/keywords/cluster-structure","display_name":"cluster structure","score":0.38100001215934753},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"affinity propagation","score":0.7739999890327454},{"id":"https://openalex.org/keywords/eap","display_name":"EAP","score":0.746999979019165},{"id":"https://openalex.org/keywords/shape","display_name":"shape","score":0.9480000138282776},{"id":"https://openalex.org/keywords/cluster-density","display_name":"cluster density","score":0.7480000257492065},{"id":"https://openalex.org/keywords/cluster-consistency","display_name":"cluster consistency","score":0.3269999921321869}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8110508918762207},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7436613440513611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7165464162826538},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6768450140953064},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.597128689289093},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5415760278701782},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.5370954275131226},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5059024691581726},{"id":"https://openalex.org/C2986090443","wikidata":"https://www.wikidata.org/wiki/Q77870413","display_name":"Local structure","level":2,"score":0.4732903838157654},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4729444980621338},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3688240945339203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3659853935241699},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.16919958591461182},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.10257881879806519},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09446236491203308},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07611533999443054},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C159467904","wikidata":"https://www.wikidata.org/wiki/Q2001702","display_name":"Chemical physics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2793459841","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1803.04459.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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}],"best_oa_location":{"id":"mag:2793459841","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1803.04459.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1783384641","https://openalex.org/W1794961931","https://openalex.org/W1841961408","https://openalex.org/W1972098431","https://openalex.org/W2002055996","https://openalex.org/W2030006812","https://openalex.org/W2098387242","https://openalex.org/W2107067224","https://openalex.org/W2112796928","https://openalex.org/W2116447934","https://openalex.org/W2121564430","https://openalex.org/W2137813581","https://openalex.org/W2144414892","https://openalex.org/W2151296292","https://openalex.org/W2165232124","https://openalex.org/W2166610567","https://openalex.org/W2295256067","https://openalex.org/W2725860187","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W2944677564","https://openalex.org/W2051286996","https://openalex.org/W2146058975","https://openalex.org/W84926671","https://openalex.org/W1971395348","https://openalex.org/W3097249106","https://openalex.org/W7045364081","https://openalex.org/W1988796381","https://openalex.org/W7100651775","https://openalex.org/W7452151"],"abstract_inverted_index":{"A":[0],"good":[1],"clustering":[2,83],"algorithm":[3],"should":[4],"not":[5,90],"only":[6,91],"be":[7,24,125],"able":[8],"to":[9,26,55,127,178],"discover":[10,92],"clusters":[11,37,93,133],"of":[12,35,48,80,94,107,141,147,171],"arbitrary":[13,95],"shapes":[14,96],"(global":[15],"view)":[16],"but":[17,97],"also":[18,98,152],"provide":[19,99],"additional":[20],"information,":[21],"which":[22],"can":[23,89,124,156],"used":[25,126],"gain":[27,128],"more":[28],"meaningful":[29,108],"insights":[30,130],"into":[31],"the":[32,36,45,64,105,132,167],"internal":[33],"structure":[34],"(local":[38],"view).":[39],"In":[40],"this":[41,74,121,155],"work":[42],"we":[43,76],"use":[44],"mathematical":[46],"framework":[47,75],"factor":[49],"graphs":[50],"and":[51,86,112,139,162,181],"message":[52],"passing":[53],"algorithms":[54],"optimize":[56],"a":[57,81,100,148],"pairwise":[58],"similarity":[59],"based":[60],"cost":[61],"function,":[62],"in":[63,70,104,144,160,166],"same":[65],"spirit":[66],"as":[67],"was":[68],"done":[69],"Affinity":[71],"Propagation.":[72],"Using":[73],"develop":[77],"two":[78],"variants":[79],"new":[82],"algorithm,":[84],"EAP":[85],"SHAPE.":[87],"EAP/SHAPE":[88,172],"rich":[101],"local":[102,109,116,122,142],"view":[103],"form":[106],"representatives":[110],"(exemplars)":[111],"connections":[113],"between":[114],"these":[115],"exemplars.":[117],"We":[118,151],"discuss":[119,153],"how":[120,154],"information":[123],"various":[129,179],"about":[131],"including":[134],"varying":[135],"relative":[136],"cluster":[137,149],"densities":[138],"indication":[140],"strength":[143],"different":[145],"regions":[146],".":[150],"help":[157],"an":[158],"analyst":[159],"discovering":[161],"resolving":[163],"potential":[164],"inconsistencies":[165],"results.":[168],"The":[169],"efficacy":[170],"is":[173],"shown":[174],"by":[175],"applying":[176],"it":[177],"synthetic":[180],"real":[182],"world":[183],"benchmark":[184],"datasets.":[185]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2018-03-29T00:00:00"}
