{"id":"https://openalex.org/W2018276163","doi":"https://doi.org/10.1109/grc.2014.6982847","title":"On linguistic-based clustering","display_name":"On linguistic-based clustering","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2018276163","doi":"https://doi.org/10.1109/grc.2014.6982847","mag":"2018276163"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2014.6982847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2014.6982847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Granular Computing (GrC)","raw_type":"proceedings-article"},"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/A5062791802","display_name":"Akira Sugawara","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Sugawara","raw_affiliation_strings":["Graduate School of Systems and Information Engineering","University of Tsukuba, Tsukuba, Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Systems and Information Engineering","institution_ids":[]},{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086432357","display_name":"Naohiko Kinoshita","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naohiko Kinoshita","raw_affiliation_strings":["Graduate School of Systems and Information Engineering","University of Tsukuba, Tsukuba, Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Systems and Information Engineering","institution_ids":[]},{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101943648","display_name":"Yasunori Endo","orcid":"https://orcid.org/0000-0003-2968-4613"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasunori Endo","raw_affiliation_strings":["Faculty of Engineering, Information and Systems","University of Tsukuba, Tsukuba, Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Information and Systems","institution_ids":[]},{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09075212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"265","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9961000084877014,"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":0.9961000084877014,"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":0.9947999715805054,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9919999837875366,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8914154767990112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.726472795009613},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6866518259048462},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5813335180282593},{"id":"https://openalex.org/keywords/conceptual-clustering","display_name":"Conceptual clustering","score":0.5621978640556335},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5323173403739929},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.5273110270500183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4907720983028412},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.44740867614746094},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.4438553750514984},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4206932485103607},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3267919719219208}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8914154767990112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.726472795009613},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6866518259048462},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5813335180282593},{"id":"https://openalex.org/C39235581","wikidata":"https://www.wikidata.org/wiki/Q5158434","display_name":"Conceptual clustering","level":5,"score":0.5621978640556335},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5323173403739929},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.5273110270500183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4907720983028412},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.44740867614746094},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.4438553750514984},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4206932485103607},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3267919719219208}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2014.6982847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2014.6982847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Granular Computing (GrC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5837503798","display_name":"Establishment of Linguistic clustering - Conversion from Model-based Clustering","funder_award_id":"26330271","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1970104171","https://openalex.org/W2024284069","https://openalex.org/W4211007335","https://openalex.org/W4235169531"],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W2181939267","https://openalex.org/W2491448268","https://openalex.org/W2160785859","https://openalex.org/W3140018618","https://openalex.org/W2622412490","https://openalex.org/W3124860551","https://openalex.org/W2049890817","https://openalex.org/W2607137685","https://openalex.org/W1970969031"],"abstract_inverted_index":{"Clustering":[0],"which":[1,47],"is":[2,8,80,93],"one":[3],"of":[4,19],"data":[5,13,40,55,88],"mining":[6],"techniques":[7],"a":[9,60],"method":[10,63,76],"automatically":[11],"classifying":[12],"into":[14],"some":[15],"clusters.":[16],"Various":[17],"types":[18],"clustering":[20,36,62],"methods":[21,31,37,48],"based":[22,64],"on":[23,65],"mathematical":[24],"models":[25],"are":[26],"proposed.":[27],"We":[28,34,72],"call":[29,73],"these":[30],"model-based":[32],"clustering.":[33,78],"use":[35],"to":[38],"know":[39,46,54,87],"structure.":[41,56,89],"However,":[42],"we":[43,49,53,58,83],"do":[44,84],"not":[45,85],"should":[50],"select":[51],"unless":[52],"Therefore,":[57],"propose":[59],"new":[61,75],"linguistic":[66],"rules,":[67],"that":[68],"is,":[69],"fuzzy":[70],"reasoning.":[71],"the":[74,91],"linguistic-based":[77],"It":[79],"available":[81],"when":[82],"even":[86],"Moreover,":[90],"effectiveness":[92],"shown":[94],"through":[95],"numerical":[96],"examples.":[97]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
