{"id":"https://openalex.org/W2191172738","doi":"https://doi.org/10.3390/rs71215834","title":"An Endmember Extraction Method Based on Artificial Bee Colony Algorithms for Hyperspectral Remote Sensing Images","display_name":"An Endmember Extraction Method Based on Artificial Bee Colony Algorithms for Hyperspectral Remote Sensing Images","publication_year":2015,"publication_date":"2015-12-04","ids":{"openalex":"https://openalex.org/W2191172738","doi":"https://doi.org/10.3390/rs71215834","mag":"2191172738"},"language":"en","primary_location":{"id":"doi:10.3390/rs71215834","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs71215834","pdf_url":"https://www.mdpi.com/2072-4292/7/12/15834/pdf?version=1449223082","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/7/12/15834/pdf?version=1449223082","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111863979","display_name":"Xu Sun","orcid":"https://orcid.org/0000-0001-5389-7251"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Sun","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"],"raw_orcid":"https://orcid.org/0000-0001-5389-7251","affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022815251","display_name":"Lina Yang","orcid":"https://orcid.org/0000-0002-1742-9941"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Yang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389708","display_name":"Bing Zhang","orcid":"https://orcid.org/0000-0003-0319-7753"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bing Zhang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"],"raw_orcid":"https://orcid.org/0000-0003-0319-7753","affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066378186","display_name":"Lianru Gao","orcid":"https://orcid.org/0000-0003-3888-8124"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianru Gao","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"],"raw_orcid":"https://orcid.org/0000-0003-3888-8124","affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101953283","display_name":"Jianwei Gao","orcid":"https://orcid.org/0000-0003-4203-0374"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Gao","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100389708"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":2.9176,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.91929012,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":"12","first_page":"16363","last_page":"16383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.9887596964836121},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9063385128974915},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6447274684906006},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5605798959732056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5600332021713257},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5560718774795532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49233710765838623},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4847719073295593},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4231644570827484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35379964113235474},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3511965870857239},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12586051225662231},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09731480479240417}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9887596964836121},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9063385128974915},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6447274684906006},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5605798959732056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5600332021713257},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5560718774795532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49233710765838623},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4847719073295593},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4231644570827484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35379964113235474},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3511965870857239},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12586051225662231},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09731480479240417},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs71215834","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs71215834","pdf_url":"https://www.mdpi.com/2072-4292/7/12/15834/pdf?version=1449223082","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:mdpi.com:/2072-4292/7/12/15834/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs71215834","pdf_url":"https://dx.doi.org/10.3390/rs71215834","source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:70eaf93ec30e4f5fa01cfeffa745a1fe","is_oa":true,"landing_page_url":"https://doaj.org/article/70eaf93ec30e4f5fa01cfeffa745a1fe","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 7, Iss 12, Pp 16363-16383 (2015)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/7/12/16363/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/rs71215834","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs71215834","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs71215834","pdf_url":"https://www.mdpi.com/2072-4292/7/12/15834/pdf?version=1449223082","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3068063724","display_name":null,"funder_award_id":"41325004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5248959316","display_name":null,"funder_award_id":"41201356","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6335006918","display_name":null,"funder_award_id":"KZZD-EW-TZ-18","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G7338347520","display_name":null,"funder_award_id":"41201397","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8559219000","display_name":"\u9ad8\u5149\u8c31\u9065\u611f\u5f71\u50cf\u590d\u6742\u6df7\u5408\u50cf\u5143\u7684\u7fa4\u667a\u80fd\u4f18\u5316\u5206\u89e3\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41571349","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/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320336006","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2191172738.pdf","grobid_xml":"https://content.openalex.org/works/W2191172738.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W138005045","https://openalex.org/W229472839","https://openalex.org/W1529965533","https://openalex.org/W1582058549","https://openalex.org/W1971967548","https://openalex.org/W2000779965","https://openalex.org/W2098295833","https://openalex.org/W2098477891","https://openalex.org/W2101837437","https://openalex.org/W2107222994","https://openalex.org/W2107941094","https://openalex.org/W2109364787","https://openalex.org/W2114486983","https://openalex.org/W2116699851","https://openalex.org/W2117325189","https://openalex.org/W2127062304","https://openalex.org/W2134328014","https://openalex.org/W2140216497","https://openalex.org/W2143560894","https://openalex.org/W2144317842","https://openalex.org/W2156458885","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2170078675","https://openalex.org/W2295820431","https://openalex.org/W2506684654","https://openalex.org/W4233760599","https://openalex.org/W6676058556"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W2315521504","https://openalex.org/W3106536224","https://openalex.org/W2890371384","https://openalex.org/W2773863718","https://openalex.org/W2563324120","https://openalex.org/W2040756827"],"abstract_inverted_index":{"Mixed":[0],"pixels":[1],"are":[2,96,116,207],"common":[3],"in":[4,15,149],"hyperspectral":[5,114],"remote":[6],"sensing":[7],"images.":[8],"Endmember":[9,90],"extraction":[10,73,129],"is":[11,29,59,75,190],"a":[12,25,112,138],"key":[13],"step":[14],"spectral":[16,20,47],"unmixing.":[17,48],"The":[18],"linear":[19],"mixture":[21],"model":[22,58],"(LSMM)":[23],"constitutes":[24],"geometric":[26],"approach":[27],"that":[28,121,196],"commonly":[30],"used":[31],"for":[32,46],"this":[33],"purpose.":[34],"This":[35],"paper":[36],"introduces":[37],"the":[38,50,54,63,66,70,79,82,150,159,162,170,176,184,187,200,204,210],"use":[39],"of":[40,53,65,81,101,109,152,172,179,186,197],"artificial":[41],"bee":[42],"colony":[43],"(ABC)":[44],"algorithms":[45,133],"First,":[49],"objective":[51,83],"function":[52],"external":[55],"minimum":[56],"volume":[57],"improved":[60],"to":[61,209],"enhance":[62],"robustness":[64],"results,":[67],"and":[68,93,106,123,154,175],"then,":[69],"ABC-based":[71],"endmember":[72,128],"process":[74],"presented.":[76],"Depending":[77],"on":[78],"characteristics":[80],"function,":[84],"two":[85,99],"algorithms,":[86],"Artificial":[87],"Bee":[88],"Colony":[89],"Extraction-RMSE":[91],"(ABCEE-R)":[92],"ABCEE-Volume":[94],"(ABCEE-V)":[95],"proposed.":[97],"Finally,":[98],"sets":[100],"experiment":[102],"using":[103,111,203],"synthetic":[104],"data":[105,136],"one":[107],"set":[108],"experiments":[110,119],"real":[113],"image":[115],"reported.":[117],"Comparative":[118],"reveal":[120],"ABCEE-R":[122,143],"ABCEE-V":[124,188],"can":[125,156],"achieve":[126],"better":[127],"results":[130,189],"than":[131],"other":[132],"when":[134,169],"processing":[135],"with":[137,161],"low":[139],"signal-to-noise":[140],"ratio":[141],"(SNR).":[142],"does":[144,181],"not":[145,182,192],"require":[146],"high":[147],"accuracy":[148],"number":[151,171,178],"endmembers,":[153],"it":[155],"always":[157],"obtain":[158],"result":[160],"best":[163],"root":[164],"mean":[165],"square":[166],"error":[167],"(RMSE);":[168],"endmembers":[173,180,201],"extracted":[174,202],"true":[177,211],"match,":[183],"RMSE":[185],"usually":[191],"as":[193,195],"good":[194],"ABCEE-R,":[198],"but":[199],"former":[205],"algorithm":[206],"closer":[208],"endmembers.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
