{"id":"https://openalex.org/W2159839388","doi":"https://doi.org/10.1145/1553374.1553405","title":"A scalable framework for discovering coherent co-clusters in noisy data","display_name":"A scalable framework for discovering coherent co-clusters in noisy data","publication_year":2009,"publication_date":"2009-06-14","ids":{"openalex":"https://openalex.org/W2159839388","doi":"https://doi.org/10.1145/1553374.1553405","mag":"2159839388"},"language":"en","primary_location":{"id":"doi:10.1145/1553374.1553405","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","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/A5067790092","display_name":"Meghana Deodhar","orcid":null},"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":"Meghana Deodhar","raw_affiliation_strings":["University of Texas at Austin, Austin, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101966360","display_name":"Gunjan Gupta","orcid":"https://orcid.org/0000-0002-6459-8203"},"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":"Gunjan Gupta","raw_affiliation_strings":["University of Texas at Austin, Austin, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103071668","display_name":"Joydeep Ghosh","orcid":"https://orcid.org/0000-0002-7366-3548"},"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":"Joydeep Ghosh","raw_affiliation_strings":["University of Texas at Austin, Austin, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019293949","display_name":"Hyuk Cho","orcid":null},"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":"Hyuk Cho","raw_affiliation_strings":["University of Texas at Austin, Austin, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063459703","display_name":"Inderjit S. Dhillon","orcid":"https://orcid.org/0000-0002-2759-1416"},"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":"Inderjit Dhillon","raw_affiliation_strings":["University of Texas at Austin, Austin, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":15.1838,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.99266469,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"241","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9969000220298767,"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":0.8217905759811401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7537434101104736},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6925522089004517},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6246991753578186},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5666673183441162},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46610531210899353},{"id":"https://openalex.org/keywords/biclustering","display_name":"Biclustering","score":0.4468845725059509},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.44290614128112793},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.410054087638855},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.39141231775283813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3604661822319031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3527054488658905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1320185661315918}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8217905759811401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7537434101104736},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6925522089004517},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6246991753578186},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5666673183441162},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46610531210899353},{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.4468845725059509},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.44290614128112793},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.410054087638855},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.39141231775283813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3604661822319031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3527054488658905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1320185661315918},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1553374.1553405","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.205.5200","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.5200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ideal.ece.utexas.edu/pubs/pdf/2009/degughchdh09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4471401071","display_name":null,"funder_award_id":"IIS 0325116IIS 0307792IIS 0713142CCF 0431257","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"},{"id":"https://openalex.org/G5214865307","display_name":null,"funder_award_id":"IIS 0325116IIS 0307792IIS 0713142CCF 0431257","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"}],"funders":[{"id":"https://openalex.org/F4320337387","display_name":"Division of Computing and Communication Foundations","ror":"https://ror.org/01mng8331"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1493217831","https://openalex.org/W1593486402","https://openalex.org/W1673310716","https://openalex.org/W1929593512","https://openalex.org/W1983524036","https://openalex.org/W2006533296","https://openalex.org/W2016381774","https://openalex.org/W2044189186","https://openalex.org/W2046618236","https://openalex.org/W2057682468","https://openalex.org/W2058849889","https://openalex.org/W2064787891","https://openalex.org/W2080278541","https://openalex.org/W2099322651","https://openalex.org/W2105883975","https://openalex.org/W2116806401","https://openalex.org/W2135875435","https://openalex.org/W2136107412","https://openalex.org/W2136252241","https://openalex.org/W2137683543","https://openalex.org/W2138570191","https://openalex.org/W2143065952","https://openalex.org/W2144544802","https://openalex.org/W2155010807","https://openalex.org/W2164883038","https://openalex.org/W2167689714","https://openalex.org/W2425246132","https://openalex.org/W2434205482","https://openalex.org/W4285719527","https://openalex.org/W6635743399","https://openalex.org/W6677321580"],"related_works":["https://openalex.org/W2111119584","https://openalex.org/W2606552659","https://openalex.org/W4301002638","https://openalex.org/W3186815950","https://openalex.org/W2163563073","https://openalex.org/W3088133960","https://openalex.org/W2921708367","https://openalex.org/W2607902515","https://openalex.org/W2001483765","https://openalex.org/W2590117803"],"abstract_inverted_index":{"Clustering":[0],"problems":[1],"often":[2,84],"involve":[3],"datasets":[4],"where":[5],"only":[6,22],"a":[7,23,32,40,74,104,139],"part":[8],"of":[9,25,34,39,43,70,114,141],"the":[10,15,26,35,71,112],"data":[11,20,45],"is":[12,83,92],"relevant":[13],"to":[14,52,89,94,138],"problem,":[16],"e.g.,":[17],"in":[18,67],"microarray":[19],"analysis":[21],"subset":[24,33],"genes":[27],"show":[28],"cohesive":[29],"expressions":[30],"within":[31],"conditions/features.":[36],"The":[37],"existence":[38],"large":[41],"number":[42,140],"non-informative":[44],"points":[46],"and":[47,56,81,106],"features":[48,82],"makes":[49],"it":[50,134],"challenging":[51],"hunt":[53],"for":[54],"coherent":[55],"meaningful":[57],"clusters":[58,64,79],"from":[59,123],"such":[60],"datasets.":[61,126],"Additionally,":[62],"since":[63],"could":[65],"exist":[66],"different":[68],"subspaces":[69],"feature":[72],"space,":[73],"co-clustering":[75],"algorithm":[76],"that":[77,91,110,132],"simultaneously":[78],"objects":[80],"more":[85],"suitable":[86],"as":[87],"compared":[88],"one":[90],"restricted":[93],"traditional":[95],"\"one-sided\"":[96],"clustering.":[97],"We":[98],"propose":[99],"Robust":[100],"Overlapping":[101],"Co-Clustering":[102],"(ROCC),":[103],"scalable":[105],"very":[107],"versatile":[108],"framework":[109],"addresses":[111],"problem":[113],"efficiently":[115],"mining":[116],"dense,":[117],"arbitrarily":[118],"positioned,":[119],"possibly":[120],"overlapping":[121],"co-clusters":[122],"large,":[124],"noisy":[125],"ROCC":[127],"has":[128],"several":[129],"desirable":[130],"properties":[131],"make":[133],"extremely":[135],"well":[136],"suited":[137],"real":[142],"life":[143],"applications.":[144]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":8}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}