{"id":"https://openalex.org/W2010140249","doi":"https://doi.org/10.1002/bs.3830120210","title":"A clustering technique for summarizing multivariate data","display_name":"A clustering technique for summarizing multivariate data","publication_year":1967,"publication_date":"1967-03-01","ids":{"openalex":"https://openalex.org/W2010140249","doi":"https://doi.org/10.1002/bs.3830120210","mag":"2010140249","pmid":"https://pubmed.ncbi.nlm.nih.gov/6030099"},"language":"en","primary_location":{"id":"doi:10.1002/bs.3830120210","doi":"https://doi.org/10.1002/bs.3830120210","is_oa":false,"landing_page_url":"https://doi.org/10.1002/bs.3830120210","pdf_url":null,"source":{"id":"https://openalex.org/S126013225","display_name":"Systems Research and Behavioral Science","issn_l":"1092-7026","issn":["1092-7026","1099-1743"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-scientific","cwts-core","fnege-4","jufo-1","norway-1","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Behavioral Science","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W2010140249"],"child_works_count":0,"type":"article","is_traditional":true,"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/A5060441860","display_name":"Geoffrey H. Ball","orcid":"https://orcid.org/0000-0002-7523-4931","observed_orcids":["https://orcid.org/0000-0002-7523-4931"]},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Geoffrey H. Ball","raw_affiliation_strings":["Stanford Research Institute, Menlo Park, California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford Research Institute, Menlo Park, California","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103512904","display_name":"D.J. Hall","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David J. Hall","raw_affiliation_strings":["Stanford Research Institute, Menlo Park, California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford Research Institute, Menlo Park, California","institution_ids":["https://openalex.org/I1298353152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1298353152"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":null,"fwci":4.6771,"has_fulltext":false,"cited_by_count":925,"citation_normalized_percentile":{"value":0.94163424,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":"2","first_page":"153","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.0003000000142492354,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.00019999999494757503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/isodata-clustering","display_name":"ISODATA clustering","score":0.8629999756813049},{"id":"https://openalex.org/keywords/clustering","display_name":"clustering","score":0.9330000281333923},{"id":"https://openalex.org/keywords/cluster-centers","display_name":"cluster centers","score":0.9020000100135803},{"id":"https://openalex.org/keywords/data-grouping","display_name":"data grouping","score":0.3790000081062317}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7751004695892334},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6736668944358826},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.6614143252372742},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5637961626052856},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5605714321136475},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.547504723072052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5468052625656128},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.535156786441803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3121410608291626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2414635419845581},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18976670503616333},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D003201","descriptor_name":"Computers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011581","descriptor_name":"Psychological Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1002/bs.3830120210","doi":"https://doi.org/10.1002/bs.3830120210","is_oa":false,"landing_page_url":"https://doi.org/10.1002/bs.3830120210","pdf_url":null,"source":{"id":"https://openalex.org/S126013225","display_name":"Systems Research and Behavioral Science","issn_l":"1092-7026","issn":["1092-7026","1099-1743"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-scientific","cwts-core","fnege-4","jufo-1","norway-1","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Behavioral Science","raw_type":"journal-article"},{"id":"pmid:6030099","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/6030099","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,"listed_in":[],"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":"Behavioral science","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1750691321","https://openalex.org/W3034635742"],"related_works":["https://openalex.org/W1498782169","https://openalex.org/W261577861","https://openalex.org/W2350775254","https://openalex.org/W2394015568","https://openalex.org/W139745901","https://openalex.org/W1969554640","https://openalex.org/W4238642279","https://openalex.org/W2415299989","https://openalex.org/W1505395986","https://openalex.org/W571105681"],"abstract_inverted_index":{"Scientific":[0],"measurements":[1],"frequently":[2],"involve":[3],"large":[4],"numbers":[5],"of":[6,26,34,43,46,55,59,75,78,89],"variables":[7],"whose":[8],"complex":[9],"interactions":[10],"are":[11],"not":[12],"easily":[13],"found.":[14],"A":[15],"practical":[16],"computing":[17],"method":[18],"termed":[19],"ISODATA,":[20],"which":[21],"finds":[22],"the":[23,35,41,53,56,71,76,87,90],"cluster":[24,47,66],"structure":[25],"such":[27],"data,":[28],"is":[29],"described.":[30],"The":[31],"resulting":[32],"description":[33],"data":[36,42,61],"provides":[37],"a":[38,44],"fit":[39],"to":[40,51,70,81],"set":[45],"centers":[48],"that":[49],"tends":[50],"minimize":[52],"sum":[54],"squared":[57],"distances":[58],"each":[60],"point":[62],"from":[63],"its":[64],"closest":[65],"center.":[67],"An":[68],"application":[69],"grouping":[72],"or":[73],"clustering":[74],"answers":[77],"209":[79],"people":[80],"an":[82],"80-question":[83],"sociological":[84],"survey":[85],"illustrates":[86],"utility":[88],"method.":[91]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":39},{"year":2018,"cited_by_count":26},{"year":2017,"cited_by_count":28},{"year":2016,"cited_by_count":25},{"year":2015,"cited_by_count":30},{"year":2014,"cited_by_count":37},{"year":2013,"cited_by_count":35},{"year":2012,"cited_by_count":37}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2016-06-24T00:00:00"}
