{"id":"https://openalex.org/W1550411348","doi":"https://doi.org/10.1007/3-540-44533-1_24","title":"Fast and Robust General Purpose Clustering Algorithms","display_name":"Fast and Robust General Purpose Clustering Algorithms","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W1550411348","doi":"https://doi.org/10.1007/3-540-44533-1_24","mag":"1550411348"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-44533-1_24","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-44533-1_24","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5061047124","display_name":"Vladimir Estivill\u2010Castro","orcid":"https://orcid.org/0000-0001-7775-0780"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Vladimir Estivill-Castro","raw_affiliation_strings":["Department of Computer Science & Software Engineering, The University of Newcastle, Callaghan, NSW, 2308, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Software Engineering, The University of Newcastle, Callaghan, NSW, 2308, Australia","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101495323","display_name":"Jianhua Yang","orcid":"https://orcid.org/0000-0002-1780-4051"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jianhua Yang","raw_affiliation_strings":["Department of Computer Science & Software Engineering, The University of Newcastle, Callaghan, NSW, 2308, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Software Engineering, The University of Newcastle, Callaghan, NSW, 2308, Australia","institution_ids":["https://openalex.org/I78757542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78757542"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"208","last_page":"218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9997000098228455,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9997000098228455,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9987000226974487,"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":0.9950000047683716,"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/computer-science","display_name":"Computer science","score":0.8368189334869385},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8064471483230591},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6521245837211609},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.6439933776855469},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5605310201644897},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5163970589637756},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5127004384994507},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.45574310421943665},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4281757175922394},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.425618052482605},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.3277977406978607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3039230406284332},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12720981240272522},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.11055094003677368},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08742690086364746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8368189334869385},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8064471483230591},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6521245837211609},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.6439933776855469},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5605310201644897},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5163970589637756},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5127004384994507},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.45574310421943665},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4281757175922394},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.425618052482605},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.3277977406978607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3039230406284332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12720981240272522},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.11055094003677368},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08742690086364746},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/3-540-44533-1_24","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-44533-1_24","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/131887","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/131887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W21813868","https://openalex.org/W111853629","https://openalex.org/W147860157","https://openalex.org/W170307911","https://openalex.org/W1484280155","https://openalex.org/W1493454437","https://openalex.org/W1495441429","https://openalex.org/W1508318885","https://openalex.org/W1524403460","https://openalex.org/W1538973122","https://openalex.org/W1554641475","https://openalex.org/W1575476631","https://openalex.org/W1578747903","https://openalex.org/W1584984302","https://openalex.org/W1602529955","https://openalex.org/W1602684539","https://openalex.org/W1603211840","https://openalex.org/W1611682757","https://openalex.org/W1955600018","https://openalex.org/W1975120776","https://openalex.org/W1976681415","https://openalex.org/W1977541023","https://openalex.org/W1981276685","https://openalex.org/W2042923400","https://openalex.org/W2045656233","https://openalex.org/W2047555270","https://openalex.org/W2048901266","https://openalex.org/W2049633694","https://openalex.org/W2053479770","https://openalex.org/W2060223209","https://openalex.org/W2060530519","https://openalex.org/W2073849744","https://openalex.org/W2082503527","https://openalex.org/W2086594463","https://openalex.org/W2105535594","https://openalex.org/W2110537119","https://openalex.org/W2113076747","https://openalex.org/W2127218421","https://openalex.org/W2129249398","https://openalex.org/W2149230623","https://openalex.org/W2166698530","https://openalex.org/W2228661462","https://openalex.org/W2315444819","https://openalex.org/W2465490635","https://openalex.org/W2498631646","https://openalex.org/W2612166593","https://openalex.org/W2798543290","https://openalex.org/W2799002609","https://openalex.org/W2800394774","https://openalex.org/W2999729612","https://openalex.org/W3017143921","https://openalex.org/W4244023744","https://openalex.org/W4285719527","https://openalex.org/W6604513671","https://openalex.org/W6676034603","https://openalex.org/W6776565550"],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W2171610853","https://openalex.org/W3144143113","https://openalex.org/W3120229345","https://openalex.org/W3022637481","https://openalex.org/W2491448268","https://openalex.org/W2892323093","https://openalex.org/W2394117789","https://openalex.org/W2160785859","https://openalex.org/W2390610678"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":7},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
