{"id":"https://openalex.org/W2041674806","doi":"https://doi.org/10.1007/s007780050005","title":"Clustering categorical data: an approach based on dynamical systems","display_name":"Clustering categorical data: an approach based on dynamical systems","publication_year":2000,"publication_date":"2000-02-01","ids":{"openalex":"https://openalex.org/W2041674806","doi":"https://doi.org/10.1007/s007780050005","mag":"2041674806"},"language":"en","primary_location":{"id":"doi:10.1007/s007780050005","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s007780050005","pdf_url":null,"source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal The International Journal on Very Large Data Bases","raw_type":"journal-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/A5053094139","display_name":"David Gibson","orcid":"https://orcid.org/0000-0002-7612-0530"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]},{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David Gibson","raw_affiliation_strings":["Department of Computer Science UC Berkeley, Berkeley, CA 94720 USA; e-mail: dag@cs.berkeley.edu, , , , , , US","Department of Computer Science UC Berkeley, Berkeley, CA 94720 USA; e-mail: dag@cs.berkeley.edu#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science UC Berkeley, Berkeley, CA 94720 USA; e-mail: dag@cs.berkeley.edu, , , , , , US","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]},{"raw_affiliation_string":"Department of Computer Science UC Berkeley, Berkeley, CA 94720 USA; e-mail: dag@cs.berkeley.edu#TAB#","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055710645","display_name":"Jon Kleinberg","orcid":"https://orcid.org/0000-0002-1929-2512"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jon Kleinberg","raw_affiliation_strings":["Department of Computer Science, Cornell University, Ithaca, NY 14853; e-mail: kleinber@cs.cornell.edu, , , , , , US","Department of Computer Science, Cornell University, Ithaca, NY 14853; e-mail: kleinber@cs.cornell.edu#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cornell University, Ithaca, NY 14853; e-mail: kleinber@cs.cornell.edu, , , , , , US","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Department of Computer Science, Cornell University, Ithaca, NY 14853; e-mail: kleinber@cs.cornell.edu#TAB#","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078491738","display_name":"Prabhakar Raghavan","orcid":"https://orcid.org/0000-0001-9853-7604"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prabhakar Raghavan","raw_affiliation_strings":["Almaden Research Center IBM, San Jose, CA 95120 USA; e-mail: pragh@almaden.ibm.com, , , , , , US","Almaden Research Center IBM, San Jose, CA 95120 USA; e-mail: pragh@almaden.ibm.com#TAB#"],"affiliations":[{"raw_affiliation_string":"Almaden Research Center IBM, San Jose, CA 95120 USA; e-mail: pragh@almaden.ibm.com, , , , , , US","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"Almaden Research Center IBM, San Jose, CA 95120 USA; e-mail: pragh@almaden.ibm.com#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053094139"],"corresponding_institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":14.0165,"has_fulltext":false,"cited_by_count":386,"citation_normalized_percentile":{"value":0.99106324,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"8","issue":"3-4","first_page":"222","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9911999702453613,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9911999702453613,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9750000238418579,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9728999733924866,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.9373446702957153},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7436273097991943},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.650445818901062},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6110669374465942},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5939920544624329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5787434577941895},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5459451079368591},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.44848641753196716},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.4298252463340759},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.335289865732193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.321841835975647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3214508593082428},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21613433957099915},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0612238347530365}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.9373446702957153},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7436273097991943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.650445818901062},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6110669374465942},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5939920544624329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5787434577941895},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5459451079368591},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.44848641753196716},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.4298252463340759},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.335289865732193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.321841835975647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3214508593082428},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21613433957099915},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0612238347530365},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s007780050005","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s007780050005","pdf_url":null,"source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal The International Journal on Very Large Data Bases","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.106.9356","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.9356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.iitb.ac.in/banks/Private/RelatedPapers/p311.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.43.8003","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.43.8003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cornell.edu/home/kleinber/vldb98.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.851.8585","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.851.8585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www09.sigmod.org/disc/disc99/disc/vldb/P311.PDF","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.93.2299","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.2299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.mit.edu/jorlin/www/15099Papers/gibson_et_al.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W13725875","https://openalex.org/W20722260","https://openalex.org/W60856054","https://openalex.org/W65738273","https://openalex.org/W1484413656","https://openalex.org/W1493471663","https://openalex.org/W1506285740","https://openalex.org/W1509426348","https://openalex.org/W1520890006","https://openalex.org/W1536481811","https://openalex.org/W1553696291","https://openalex.org/W1578099820","https://openalex.org/W1587744656","https://openalex.org/W1597561788","https://openalex.org/W1607251184","https://openalex.org/W1631603072","https://openalex.org/W1967121925","https://openalex.org/W1979684610","https://openalex.org/W1989042829","https://openalex.org/W1994851566","https://openalex.org/W2002374079","https://openalex.org/W2011039300","https://openalex.org/W2033852356","https://openalex.org/W2037965136","https://openalex.org/W2066636486","https://openalex.org/W2067976091","https://openalex.org/W2068871408","https://openalex.org/W2088272899","https://openalex.org/W2095897464","https://openalex.org/W2122538988","https://openalex.org/W2138621811","https://openalex.org/W2147152072","https://openalex.org/W2148694408","https://openalex.org/W2160066518","https://openalex.org/W2166559705","https://openalex.org/W2210278139","https://openalex.org/W2798909945","https://openalex.org/W2886661658","https://openalex.org/W3017143921","https://openalex.org/W3207342693","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3107178186","https://openalex.org/W2773208253","https://openalex.org/W3181754520","https://openalex.org/W2560646951","https://openalex.org/W4297454206","https://openalex.org/W1871748041","https://openalex.org/W2362286668","https://openalex.org/W2133382151","https://openalex.org/W2153339597","https://openalex.org/W1528412344"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":22},{"year":2013,"cited_by_count":17},{"year":2012,"cited_by_count":20}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
