{"id":"https://openalex.org/W2139710299","doi":"https://doi.org/10.1145/1273496.1273599","title":"A dependence maximization view of clustering","display_name":"A dependence maximization view of clustering","publication_year":2007,"publication_date":"2007-06-20","ids":{"openalex":"https://openalex.org/W2139710299","doi":"https://doi.org/10.1145/1273496.1273599","mag":"2139710299"},"language":"en","primary_location":{"id":"doi:10.1145/1273496.1273599","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1273496.1273599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th international conference on Machine learning","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11858/00-001M-0000-0013-CD55-C","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102898115","display_name":"Le Song","orcid":"https://orcid.org/0000-0003-0345-9899"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Le Song","raw_affiliation_strings":["University of Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090351022","display_name":"Alex Smola","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alex Smola","raw_affiliation_strings":["Statistical Machine Learning Program, Canberra, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Statistical Machine Learning Program, Canberra, Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004160420","display_name":"Arthur Gretton","orcid":"https://orcid.org/0000-0003-3169-7624"},"institutions":[{"id":"https://openalex.org/I4210112925","display_name":"Max Planck Institute for Biological Cybernetics","ror":"https://ror.org/026nmvv73","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Arthur Gretton","raw_affiliation_strings":["MPI for Biological Cybernetics, T\u00fcbingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MPI for Biological Cybernetics, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I4210112925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074540538","display_name":"Karsten Borgwardt","orcid":"https://orcid.org/0000-0001-7221-2393"},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Karsten M. Borgwardt","raw_affiliation_strings":["LMU, Oettingenstr., M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LMU, Oettingenstr., M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":118,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"815","last_page":"822"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9821000099182129,"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":0.8555884957313538},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5627709627151489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5273317098617554},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.458630234003067},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.45591697096824646},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4483260214328766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4348880648612976},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.4296053349971771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4221239984035492},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3948201537132263},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.339826762676239},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2717553377151489}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8555884957313538},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5627709627151489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5273317098617554},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.458630234003067},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.45591697096824646},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4483260214328766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4348880648612976},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.4296053349971771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4221239984035492},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3948201537132263},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.339826762676239},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2717553377151489}],"mesh":[],"locations_count":8,"locations":[{"id":"doi:10.1145/1273496.1273599","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1273496.1273599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th international conference on Machine learning","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.mpg.de:item_1790434","is_oa":true,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0013-CD55-C","pdf_url":"http://hdl.handle.net/11858/00-001M-0000-0013-CD55-C","source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICML '07: 24th International Conference on Machine Learning","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.165.9822","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.165.9822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.kyb.tuebingen.mpg.de/publications/attachments/cluhsic_%5B0%5D.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.571.123","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.571.123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://webdav.tuebingen.mpg.de/u/karsten/Veroeffentlichungen/papers/cluhsic_longversion.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.79.8107","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.8107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://imls.engr.oregonstate.edu/www/htdocs/proceedings/icml2007/papers/243.pdf","raw_type":"text"},{"id":"pmh:oai:edoc.mpg.de:352329","is_oa":false,"landing_page_url":"http://edoc.mpg.de/352329","pdf_url":null,"source":{"id":"https://openalex.org/S4406922265","display_name":"Max Planck Institute for Plasma Physics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007), 815-822 (2007)","raw_type":"Conference-Paper"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/39795","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/39795","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book chapter"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/733765337","is_oa":false,"landing_page_url":"https://hdl.handle.net/1885/733765337","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"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":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:pure.mpg.de:item_1790434","is_oa":true,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0013-CD55-C","pdf_url":"http://hdl.handle.net/11858/00-001M-0000-0013-CD55-C","source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICML '07: 24th International Conference on Machine Learning","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2139710299.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W198244778","https://openalex.org/W835806154","https://openalex.org/W1638081485","https://openalex.org/W1774304772","https://openalex.org/W1986007546","https://openalex.org/W2034331023","https://openalex.org/W2097173970","https://openalex.org/W2099242680","https://openalex.org/W2119227770","https://openalex.org/W2125687218","https://openalex.org/W2127218421","https://openalex.org/W2137557016","https://openalex.org/W2139850885","https://openalex.org/W2140000690","https://openalex.org/W2140095548","https://openalex.org/W2140434878","https://openalex.org/W2155402588","https://openalex.org/W2157801062","https://openalex.org/W2159017231","https://openalex.org/W2165874743","https://openalex.org/W2740373864","https://openalex.org/W3023786531","https://openalex.org/W3142838532","https://openalex.org/W6638285678","https://openalex.org/W6674669923","https://openalex.org/W6677945368","https://openalex.org/W6680905637","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W2287240295","https://openalex.org/W1979094538","https://openalex.org/W3146523624","https://openalex.org/W4382052822","https://openalex.org/W2160785859","https://openalex.org/W2997891905","https://openalex.org/W2134448697","https://openalex.org/W2125464731","https://openalex.org/W1525022337","https://openalex.org/W2188840951"],"abstract_inverted_index":{"We":[0,77],"propose":[1],"a":[2,80],"family":[3],"of":[4,11,41],"clustering":[5],"algorithms":[6,47],"based":[7],"on":[8,67,83],"the":[9,14,24,34,68,84],"maximization":[10],"dependence":[12,39],"between":[13],"input":[15],"variables":[16],"and":[17,37,43,53],"their":[18],"cluster":[19],"labels,":[20,69],"as":[21,48],"expressed":[22],"by":[23],"Hilbert-Schmidt":[25],"Independence":[26],"Criterion":[27],"(HSIC).":[28],"Under":[29],"this":[30],"framework,":[31],"we":[32],"unify":[33],"geometric,":[35],"spectral,":[36],"statistical":[38],"views":[40],"clustering,":[42],"subsume":[44],"many":[45],"existing":[46],"special":[49],"cases":[50],"(e.g.":[51],"k-means":[52,87],"spectral":[54],"clustering).":[55],"Distinctive":[56],"to":[57],"our":[58],"framework":[59],"is":[60],"that":[61],"kernels":[62],"can":[63,71],"also":[64,78],"be":[65],"applied":[66],"which":[70],"endow":[72],"them":[73],"with":[74],"particular":[75],"structures.":[76],"obtain":[79],"perturbation":[81],"bound":[82],"change":[85],"in":[86],"clustering.":[88]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":13}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
