{"id":"https://openalex.org/W2801372700","doi":"https://doi.org/10.1155/2018/2067065","title":"Empirical Study on Indicators Selection Model Based on Nonparametric<i>K</i>\u2010Nearest Neighbor Identification and R Clustering Analysis","display_name":"Empirical Study on Indicators Selection Model Based on Nonparametric<i>K</i>\u2010Nearest Neighbor Identification and R Clustering Analysis","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2801372700","doi":"https://doi.org/10.1155/2018/2067065","mag":"2801372700"},"language":"en","primary_location":{"id":"doi:10.1155/2018/2067065","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/2067065","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/2067065.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://downloads.hindawi.com/journals/complexity/2018/2067065.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103054980","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0003-2156-6735"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010010, China","College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010010"],"affiliations":[{"raw_affiliation_string":"College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010010, China","institution_ids":["https://openalex.org/I120379545"]},{"raw_affiliation_string":"College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010010","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075000375","display_name":"Zhanjiang Li","orcid":"https://orcid.org/0000-0002-7884-5826"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhan-jiang Li","raw_affiliation_strings":["College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010010"],"affiliations":[{"raw_affiliation_string":"College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010010","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090474873","display_name":"Xue-jun Zhen","orcid":"https://orcid.org/0000-0002-0693-4950"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue-jun Zhen","raw_affiliation_strings":["College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010010, China","Huachen Trust Limited Liability Company, Hohhot 010010, China","Huachen Trust Limited Liability Company, Hohhot 010010"],"affiliations":[{"raw_affiliation_string":"College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010010, China","institution_ids":["https://openalex.org/I120379545"]},{"raw_affiliation_string":"Huachen Trust Limited Liability Company, Hohhot 010010, China","institution_ids":[]},{"raw_affiliation_string":"Huachen Trust Limited Liability Company, Hohhot 010010","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075000375"],"corresponding_institution_ids":["https://openalex.org/I120379545"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.4275,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64170503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2018","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9857000112533569,"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":0.9857000112533569,"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":0.9266999959945679,"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9045000076293945,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7097281217575073},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.6817089915275574},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.634494423866272},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5959886312484741},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.576288640499115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.522036075592041},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4120492935180664},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38709259033203125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3527337610721588},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3022572994232178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2981332540512085},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2886219620704651}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7097281217575073},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.6817089915275574},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.634494423866272},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5959886312484741},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.576288640499115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.522036075592041},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4120492935180664},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38709259033203125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3527337610721588},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3022572994232178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2981332540512085},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2886219620704651},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2018/2067065","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/2067065","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/2067065.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ad32d1c6929743908986cca81ed4c1b2","is_oa":true,"landing_page_url":"https://doaj.org/article/ad32d1c6929743908986cca81ed4c1b2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2018 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2018/2067065","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/2067065","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/2067065.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.75}],"awards":[{"id":"https://openalex.org/G1167480503","display_name":null,"funder_award_id":"2016MS0714","funder_id":"https://openalex.org/F4320322868","funder_display_name":"Natural Science Foundation of Inner Mongolia"},{"id":"https://openalex.org/G1253904684","display_name":null,"funder_award_id":"7173100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1269208988","display_name":null,"funder_award_id":"2016MS0714","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G220312814","display_name":null,"funder_award_id":"71731003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3018198931","display_name":null,"funder_award_id":"2015M582746XB","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6267619324","display_name":null,"funder_award_id":"2015M","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7501501349","display_name":null,"funder_award_id":"71731003","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8330047277","display_name":null,"funder_award_id":"2015M582746XB","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322868","display_name":"Natural Science Foundation of Inner Mongolia","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2801372700.pdf","grobid_xml":"https://content.openalex.org/works/W2801372700.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1964159032","https://openalex.org/W1974903261","https://openalex.org/W1975416012","https://openalex.org/W1978697932","https://openalex.org/W2023933938","https://openalex.org/W2063615461","https://openalex.org/W2067223851","https://openalex.org/W2107954682","https://openalex.org/W2142859223","https://openalex.org/W2147002471","https://openalex.org/W2148674002","https://openalex.org/W2184721046","https://openalex.org/W2273893358","https://openalex.org/W2474555793","https://openalex.org/W2579061498","https://openalex.org/W4391668185"],"related_works":["https://openalex.org/W4243114048","https://openalex.org/W2529605301","https://openalex.org/W4237896776","https://openalex.org/W4231665652","https://openalex.org/W1837630526","https://openalex.org/W2000242494","https://openalex.org/W2335589441","https://openalex.org/W4296826658","https://openalex.org/W1979697693","https://openalex.org/W4381571012"],"abstract_inverted_index":{"The":[0,23],"combination":[1],"of":[2,25,60],"the":[3,26,32,43,51,58,61,68,78,87,95,98,114,124,136],"nonparametric":[4,33],"K":[5,34],"\u2010nearest":[6,35],"neighbor":[7,36],"discriminant":[8,37],"method":[9,38],"and":[10,118],"R":[11,79],"cluster":[12,80],"analysis":[13,81],"is":[14,39],"used":[15,40],"to":[16,41,49,73],"construct":[17],"a":[18],"double\u2010combination":[19],"index":[20,100],"screening":[21],"model.":[22],"characteristics":[24,139],"article":[27],"are":[28,108,129],"as":[29],"follows:":[30],"firstly,":[31],"select":[42],"indicators":[44,69,88,106,127],"which":[45,55,107],"have":[46,113,135,141],"significant":[47,71],"ability":[48,72],"discriminate":[50,74],"default":[52,75],"loss":[53],"rate,":[54],"makes":[56],"up":[57],"shortcomings":[59],"previous":[62],"research":[63],"that":[64,105,128],"only":[65,134],"focuses":[66],"on":[67],"with":[70],"state.":[76],"Additionally,":[77],"applied":[82],"in":[83,110,131],"this":[84],"paper":[85],"sorts":[86],"by":[89,97],"criterion":[90],"class,":[91],"rather":[92],"than":[93],"sorting":[94],"indicator":[96],"whole":[99],"system.":[101],"This":[102,121],"approach":[103,122],"ensures":[104],"clustered":[109,130],"one":[111,132],"class":[112,133],"same":[115,137],"economic":[116,143],"implications":[117],"data":[119,138],"characteristics.":[120],"avoids":[123],"situation":[125],"where":[126],"but":[140],"different":[142],"implications.":[144]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2018-05-17T00:00:00"}