乐胖代购免代理版

{"id":"https://openalex.org/W3126224457","doi":"https://doi.org/10.1002/int.22378","title":"New concepts for cluster construction and similarity measurement","display_name":"New concepts for cluster construction and similarity measurement","publication_year":2021,"publication_date":"2021-02-06","ids":{"openalex":"https://openalex.org/W3126224457","doi":"https://doi.org/10.1002/int.22378","mag":"3126224457"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1002/int.22378","pdf_url":null,"source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1002/int.22378","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030147507","display_name":"Arthur Yosef","orcid":"https://orcid.org/0000-0002-7346-1452"},"institutions":[{"id":"https://openalex.org/I4210141777","display_name":"Academic College of Tel Aviv-Yafo","ror":"https://ror.org/04cg6c004","country_code":"IL","type":"education","lineage":["https://openalex.org/I4210141777"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Arthur Yosef","raw_affiliation_strings":["Tel Aviv-Yaffo Academic College, Tel Aviv-Yaffo, Israel"],"affiliations":[{"raw_affiliation_string":"Tel Aviv-Yaffo Academic College, Tel Aviv-Yaffo, Israel","institution_ids":["https://openalex.org/I4210141777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112012664","display_name":"Eli Shnaider","orcid":null},"institutions":[{"id":"https://openalex.org/I55693919","display_name":"Netanya Academic College","ror":"https://ror.org/03d7p8g51","country_code":"IL","type":"education","lineage":["https://openalex.org/I55693919"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Eli Shnaider","raw_affiliation_strings":["Netanya Academic College, Netanya, Israel"],"affiliations":[{"raw_affiliation_string":"Netanya Academic College, Netanya, Israel","institution_ids":["https://openalex.org/I55693919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048505386","display_name":"M. Schneider","orcid":"https://orcid.org/0000-0002-6644-5876"},"institutions":[{"id":"https://openalex.org/I55693919","display_name":"Netanya Academic College","ror":"https://ror.org/03d7p8g51","country_code":"IL","type":"education","lineage":["https://openalex.org/I55693919"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Moti Schneider","raw_affiliation_strings":["Netanya Academic College, Netanya, Israel"],"affiliations":[{"raw_affiliation_string":"Netanya Academic College, Netanya, Israel","institution_ids":["https://openalex.org/I55693919"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030147507"],"corresponding_institution_ids":["https://openalex.org/I4210141777"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500,"provenance":"doaj"},"apc_paid":{"value":2500,"currency":"USD","value_usd":2500,"provenance":"doaj"},"fwci":0.779,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.684384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":"36","issue":"5","first_page":"2267","last_page":"2291"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9978,"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":0.9978,"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":0.9977,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9919,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.66718894}],"concepts":[{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.74406075},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7358801},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.66718894},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.65190583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6169403},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5883049},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5574557},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39987046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35830373},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3275301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3068241},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1002/int.22378","pdf_url":null,"source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1002/int.22378","pdf_url":null,"source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":54,"referenced_works":["https://openalex.org/W1493454437","https://openalex.org/W1515330496","https://openalex.org/W1566114229","https://openalex.org/W1575476631","https://openalex.org/W1593595443","https://openalex.org/W1673310716","https://openalex.org/W1967185084","https://openalex.org/W1977496278","https://openalex.org/W1977556410","https://openalex.org/W1979089718","https://openalex.org/W1982618675","https://openalex.org/W1983228818","https://openalex.org/W1985429270","https://openalex.org/W1987111416","https://openalex.org/W1991482489","https://openalex.org/W1997387423","https://openalex.org/W1998384440","https://openalex.org/W1999668761","https://openalex.org/W2001750989","https://openalex.org/W2003941991","https://openalex.org/W2011832962","https://openalex.org/W2019529630","https://openalex.org/W2023671427","https://openalex.org/W2024635814","https://openalex.org/W2032101316","https://openalex.org/W2041798388","https://openalex.org/W2063203547","https://openalex.org/W2089807790","https://openalex.org/W2095897464","https://openalex.org/W2107946060","https://openalex.org/W2120636855","https://openalex.org/W2126626732","https://openalex.org/W2143872182","https://openalex.org/W2156255669","https://openalex.org/W2159291808","https://openalex.org/W2167967165","https://openalex.org/W2169384437","https://openalex.org/W2359640337","https://openalex.org/W2479531384","https://openalex.org/W2482589566","https://openalex.org/W2484702693","https://openalex.org/W2500340515","https://openalex.org/W2888977285","https://openalex.org/W2904965361","https://openalex.org/W2919636476","https://openalex.org/W2978337448","https://openalex.org/W2988613494","https://openalex.org/W4205930639","https://openalex.org/W4206103160","https://openalex.org/W4247105055","https://openalex.org/W4250042253","https://openalex.org/W4292158025","https://openalex.org/W54893182","https://openalex.org/W627057610"],"related_works":["https://openalex.org/W4312490297","https://openalex.org/W4248336175","https://openalex.org/W2391445434","https://openalex.org/W2381570729","https://openalex.org/W2381089416","https://openalex.org/W2366107444","https://openalex.org/W2185777168","https://openalex.org/W2032548952","https://openalex.org/W1980587845","https://openalex.org/W1976205134"],"abstract_inverted_index":{"In":[0,74],"this":[1],"study":[2],"we":[3,76,117,128],"introduce":[4,77],"two":[5,85,138],"new":[6,10,29,79],"concepts:":[7],"(1)":[8],"a":[9,17,37,78,90,96],"approach":[11,30],"to":[12,19,31,148],"construct":[13,32],"clusters":[14,33,56],"and":[15,72,112],"(2)":[16],"methodology":[18],"compute":[20],"similarities":[21,83],"between":[22,84,136],"numerical":[23,86,139],"vectors":[24,140],"based":[25,35,88,141],"on":[26,36,89,142],"clusters.":[27,94,126,143],"The":[28,61],"is":[34,67,110],"variable-distance":[38,64,124],"threshold.":[39],"There":[40],"are":[41,70,114,146],"several":[42,130],"important":[43],"domains":[44,62],"where":[45,63,107],"using":[46],"commonly":[47],"utilized":[48],"fixed":[49],"distance":[50],"threshold":[51,65,125],"clustering":[52,66],"method":[53],"might":[54],"create":[55],"contradicting":[57],"human":[58],"expert":[59],"reasoning.":[60],"more":[68],"suitable":[69],"discussed":[71],"explained.":[73],"addition,":[75],"concept":[80,97],"for":[81,121,132],"computing":[82,133],"vectors,":[87],"membership":[91],"in":[92],"corresponding":[93],"Such":[95],"constitutes":[98],"an":[99],"appropriate":[100],"tool":[101],"under":[102],"greater":[103],"degree":[104],"of":[105,123,153],"uncertainty":[106],"model":[108],"structure":[109],"vague,":[111],"data":[113],"unreliable.":[115],"First,":[116],"describe":[118],"the":[119,134,137,150,154],"procedure":[120],"construction":[122],"Then":[127],"provide":[129],"models":[131],"similarity":[135],"Several":[144],"examples":[145],"included":[147],"illustrate":[149],"practical":[151],"application":[152],"models.":[155]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3126224457","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-01-17T00:55:14.834801","created_date":"2021-02-15"}