{"id":"https://openalex.org/W2165127387","doi":"https://doi.org/10.1109/tpami.1979.4766919","title":"PFS Clustering Method","display_name":"PFS Clustering Method","publication_year":1979,"publication_date":"1979-07-01","ids":{"openalex":"https://openalex.org/W2165127387","doi":"https://doi.org/10.1109/tpami.1979.4766919","mag":"2165127387","pmid":"https://pubmed.ncbi.nlm.nih.gov/21868854"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.1979.4766919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.1979.4766919","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5046858289","display_name":"Mark A. Vogel","orcid":null},"institutions":[{"id":"https://openalex.org/I2802089456","display_name":"Analytical Services","ror":"https://ror.org/04g2rbh88","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2802089456"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark A. Vogel","raw_affiliation_strings":["MEMBER, IEEE, The Analytic Sciences Corporation, Reading, MA 01867","Analytic Sciences Corporation, Reading, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MEMBER, IEEE, The Analytic Sciences Corporation, Reading, MA 01867","institution_ids":["https://openalex.org/I2802089456"]},{"raw_affiliation_string":"Analytic Sciences Corporation, Reading, MA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051841038","display_name":"Andrew K. C. Wong","orcid":"https://orcid.org/0000-0002-0019-7152"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Andrew K. C. Wong","raw_affiliation_strings":["Department of Systems Design, University of Waterloo, Waterloo, ONT, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Design, University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1122,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.91467807,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"PAMI-1","issue":"3","first_page":"237","last_page":"245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9909999966621399,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9908000230789185,"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/univariate","display_name":"Univariate","score":0.7989020347595215},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.7762637138366699},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.725673496723175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7128488421440125},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5878809690475464},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.545981764793396},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.514214038848877},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4559735059738159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4257689118385315},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37703073024749756},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25882914662361145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2181435525417328}],"concepts":[{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.7989020347595215},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.7762637138366699},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.725673496723175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128488421440125},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5878809690475464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.545981764793396},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.514214038848877},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4559735059738159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4257689118385315},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37703073024749756},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25882914662361145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2181435525417328},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.1979.4766919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.1979.4766919","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:21868854","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21868854","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W78899199","https://openalex.org/W156509570","https://openalex.org/W1489608363","https://openalex.org/W1498782169","https://openalex.org/W1536628706","https://openalex.org/W1965573711","https://openalex.org/W1992724796","https://openalex.org/W2009093731","https://openalex.org/W2016381774","https://openalex.org/W2053718475","https://openalex.org/W2071489416","https://openalex.org/W2121053863","https://openalex.org/W2127218421","https://openalex.org/W2148319454","https://openalex.org/W2320959157","https://openalex.org/W2325255684","https://openalex.org/W2798467410","https://openalex.org/W3017143921","https://openalex.org/W4213388782","https://openalex.org/W4237058027","https://openalex.org/W4249217942","https://openalex.org/W4302339329","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2049578243","https://openalex.org/W2122079181","https://openalex.org/W2000145235","https://openalex.org/W1985848810","https://openalex.org/W2889939530","https://openalex.org/W2399195672","https://openalex.org/W3121881699","https://openalex.org/W2748838164","https://openalex.org/W2066015000"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,10,79],"method":[4,75],"of":[5,27,32,58,71],"cluster":[6],"analysis":[7],"based":[8],"on":[9],"pseudo":[11,49],"F-statistic":[12,47,50],"(PFS)":[13],"criterion":[14],"function.":[15],"It":[16],"is":[17,34,52],"designed":[18],"to":[19,67,77],"subdivide":[20],"an":[21,24],"ensemble":[22],"into":[23],"optimal":[25],"set":[26],"groups,":[28],"where":[29],"the":[30,69,72],"number":[31],"groups":[33],"not":[35],"specified":[36],"and":[37,45,48,76],"no":[38],"ad":[39],"hoc":[40],"parameters":[41],"are":[42,60,65],"employed.":[43],"Univariate":[44],"multivariate":[46],"consistency":[51],"displayed.":[53],"Algorithms":[54],"for":[55,82],"feasible":[56],"application":[57],"PFS":[59,73],"given.":[61],"Results":[62],"from":[63],"simulations":[64],"utilized":[66],"demonstrate":[68],"capabilities":[70],"clustering":[74],"provide":[78],"comparative":[80],"guide":[81],"other":[83],"users.":[84]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
