{"id":"https://openalex.org/W3136523743","doi":"https://doi.org/10.1145/3453187.3453416","title":"Study on Classification of Flue-cured Tobacco Planting area Based on Different Clustering Analysis Methods","display_name":"Study on Classification of Flue-cured Tobacco Planting area Based on Different Clustering Analysis Methods","publication_year":2020,"publication_date":"2020-12-05","ids":{"openalex":"https://openalex.org/W3136523743","doi":"https://doi.org/10.1145/3453187.3453416","mag":"3136523743"},"language":"en","primary_location":{"id":"doi:10.1145/3453187.3453416","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3453187.3453416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on E-Business, Information Management and Computer Science","raw_type":"proceedings-article"},"type":"article","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/A5104290277","display_name":"Ruyan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Ruyan","raw_affiliation_strings":["China Tobacco Jiangsu Industry Co., Ltd., Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"China Tobacco Jiangsu Industry Co., Ltd., Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055983054","display_name":"Zongyu Hu","orcid":"https://orcid.org/0009-0003-4520-762X"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Zongyu","raw_affiliation_strings":["China Tobacco Jiangsu Industry Co., Ltd., Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"China Tobacco Jiangsu Industry Co., Ltd., Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101779485","display_name":"Xu Qiang","orcid":"https://orcid.org/0000-0002-0262-607X"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Qiang","raw_affiliation_strings":["China Tobacco Jiangsu Industry Co., Ltd., Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"China Tobacco Jiangsu Industry Co., Ltd., Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018390407","display_name":"Haiqing Chen","orcid":"https://orcid.org/0000-0002-8245-6145"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Haiqing","raw_affiliation_strings":["China Tobacco Jiangsu Industry Co., Ltd., Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"China Tobacco Jiangsu Industry Co., Ltd., Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100737905","display_name":"Shaopeng Li","orcid":"https://orcid.org/0000-0001-7423-1934"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Shaopeng","raw_affiliation_strings":["China Tobacco Jiangsu Industry Co., Ltd., Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"China Tobacco Jiangsu Industry Co., Ltd., Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081168103","display_name":"Chu Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chu Xu","raw_affiliation_strings":["China Tobacco Jiangsu Industry Co., Ltd., Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"China Tobacco Jiangsu Industry Co., Ltd., Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I2800556661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5104290277"],"corresponding_institution_ids":["https://openalex.org/I2800556661"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1755101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2019","issue":null,"first_page":"695","last_page":"706"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.661300003528595,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.661300003528595,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.9433525204658508},{"id":"https://openalex.org/keywords/curing-of-tobacco","display_name":"Curing of tobacco","score":0.7074295282363892},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.691513180732727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6685447692871094},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6398105621337891},{"id":"https://openalex.org/keywords/explained-sum-of-squares","display_name":"Explained sum of squares","score":0.5363890528678894},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4579339325428009},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41161060333251953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2953509986400604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.25061553716659546},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.1021127998828888},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06856206059455872}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.9433525204658508},{"id":"https://openalex.org/C122519844","wikidata":"https://www.wikidata.org/wiki/Q5194754","display_name":"Curing of tobacco","level":2,"score":0.7074295282363892},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.691513180732727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6685447692871094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6398105621337891},{"id":"https://openalex.org/C49847556","wikidata":"https://www.wikidata.org/wiki/Q3964631","display_name":"Explained sum of squares","level":2,"score":0.5363890528678894},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4579339325428009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41161060333251953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2953509986400604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.25061553716659546},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.1021127998828888},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06856206059455872},{"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":[{"id":"doi:10.1145/3453187.3453416","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3453187.3453416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on E-Business, Information Management and Computer Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2384841476","https://openalex.org/W3011385630","https://openalex.org/W2008302898","https://openalex.org/W2360167920","https://openalex.org/W1980511770","https://openalex.org/W2125310307","https://openalex.org/W2187875711","https://openalex.org/W3040519971","https://openalex.org/W2413640221","https://openalex.org/W2164993107"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2],"analyze":[3],"the":[4,40,93,113,118,125,136,149,157,162,168,172,181,220,234],"quality":[5,16,54],"similarity":[6],"of":[7,18,55,63,71,84,106,117,144,165,175,202,215,223],"tobacco":[8,12,20,56,72],"leaves":[9,57],"in":[10],"different":[11,24,69,134,185],"planting":[13],"areas,":[14,26],"21":[15],"indices":[17,70],"flue-cured":[19],"were":[21,43,95,111,130,133,189,211,228],"collected":[22],"from":[23,135],"production":[25],"extracted":[27,86],"principal":[28,87,120,127,138,151,186,204,209,217,225],"components":[29],"by":[30,34],"factor":[31],"analysis,":[32],"classified":[33],"3":[35,107],"clustering":[36],"analysis":[37,109],"methods,":[38],"and":[39,45,60,75,92,100,124,171,207],"classification":[41,197],"results":[42,105,116,143,183,201,222],"compared":[44],"statistically":[46],"tested.":[47],"The":[48,53,79,104,115,142,199],"result":[49],"indicated":[50],"that:":[51],"(1)":[52],"was":[58,66,90],"different,":[59],"high":[61],"degree":[62],"information":[64],"overlap":[65],"detected":[67],"among":[68],"appearance,":[73],"chemical":[74],"sensory":[76],"quality;":[77],"(2)":[78],"cumulative":[80],"variance":[81],"contribution":[82],"rate":[83],"5":[85],"component":[88,121,128,139,152,187,205,210,226],"factors":[89,188],"85.445%,":[91],"eigenvalues":[94],"7.761,":[96],"4.758,":[97],"2.472,":[98],"1.674":[99],"1.278,":[101],"respectively;":[102],"(3)":[103],"cluster":[108,123,129,154,200,221],"methods":[110],"not":[112],"same.":[114],"weighted":[119,126,150,203,208,224],"distance":[122,153,206,227],"similar,":[131],"which":[132,192,231],"general":[137,216],"cluster;":[140],"(4)":[141],"statistical":[145,235],"test":[146,236],"showed":[147],"that":[148,214],"method":[155],"had":[156,194,232],"largest":[158,173],"F-test":[159],"value":[160],"(5.900),":[161],"smallest":[163],"sum":[164,174],"squares":[166,176],"within":[167],"group":[169],"(8.164),":[170],"between":[177],"groups":[178],"(19.267).":[179],"And":[180,219],"weighting":[182],"for":[184],"more":[190,195,229],"reasonable":[191],"also":[193],"objective":[196],"results.":[198,237],"better":[212,233],"than":[213],"component.":[218],"interpretable":[230]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
