{"id":"https://openalex.org/W4386074138","doi":"https://doi.org/10.3233/jifs-230511","title":"Features reduction collaborative fuzzy clustering for hyperspectral remote sensing images analysis","display_name":"Features reduction collaborative fuzzy clustering for hyperspectral remote sensing images analysis","publication_year":2023,"publication_date":"2023-08-22","ids":{"openalex":"https://openalex.org/W4386074138","doi":"https://doi.org/10.3233/jifs-230511"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-230511","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230511","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5064354132","display_name":"Trong Hop Dang","orcid":"https://orcid.org/0000-0001-7776-8622"},"institutions":[{"id":"https://openalex.org/I45756140","display_name":"Hanoi University of Industry","ror":"https://ror.org/05hhz4s12","country_code":"VN","type":"education","lineage":["https://openalex.org/I45756140"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Trong Hop Dang","raw_affiliation_strings":["Hanoi University of Industry, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Industry, Hanoi, Vietnam","institution_ids":["https://openalex.org/I45756140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066124025","display_name":"Viet Duc","orcid":null},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Viet Duc Do","raw_affiliation_strings":["Le Quy Don Technical University, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Le Quy Don Technical University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I131359167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007284333","display_name":"Dinh Sinh","orcid":"https://orcid.org/0000-0001-7284-5713"},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Dinh Sinh Mai","raw_affiliation_strings":["Le Quy Don Technical University, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Le Quy Don Technical University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I131359167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006784121","display_name":"Long Thanh Ngo","orcid":"https://orcid.org/0000-0002-3856-3154"},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Long Thanh Ngo","raw_affiliation_strings":["Le Quy Don Technical University, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Le Quy Don Technical University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I131359167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049530688","display_name":"Tr\u1ecbnh L\u00ea H\u00f9ng","orcid":"https://orcid.org/0000-0002-2403-063X"},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Le Hung Trinh","raw_affiliation_strings":["Le Quy Don Technical University, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Le Quy Don Technical University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I131359167"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007284333"],"corresponding_institution_ids":["https://openalex.org/I131359167"],"apc_list":null,"apc_paid":null,"fwci":0.4881,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.682695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"45","issue":"5","first_page":"7739","last_page":"7752"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.986299991607666,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9822999835014343,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8381239175796509},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7739483118057251},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7477588057518005},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6784994006156921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5744541883468628},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5462387204170227},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5339236259460449},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4735357463359833},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46886971592903137},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4529704749584198},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21679604053497314},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08839735388755798}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8381239175796509},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7739483118057251},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7477588057518005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6784994006156921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5744541883468628},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5462387204170227},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5339236259460449},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4735357463359833},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46886971592903137},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4529704749584198},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21679604053497314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08839735388755798},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-230511","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230511","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1932531222","https://openalex.org/W1973892392","https://openalex.org/W1982635649","https://openalex.org/W1987082149","https://openalex.org/W1995450389","https://openalex.org/W2005767407","https://openalex.org/W2016860790","https://openalex.org/W2029019271","https://openalex.org/W2030846306","https://openalex.org/W2033213769","https://openalex.org/W2036397044","https://openalex.org/W2037757210","https://openalex.org/W2046373373","https://openalex.org/W2067983477","https://openalex.org/W2103535990","https://openalex.org/W2104269704","https://openalex.org/W2108154570","https://openalex.org/W2113535566","https://openalex.org/W2125836634","https://openalex.org/W2131864940","https://openalex.org/W2135526710","https://openalex.org/W2138434116","https://openalex.org/W2138762030","https://openalex.org/W2155501281","https://openalex.org/W2161160262","https://openalex.org/W2288723698","https://openalex.org/W2308407318","https://openalex.org/W2313932751","https://openalex.org/W2494485523","https://openalex.org/W2497075055","https://openalex.org/W2568104758","https://openalex.org/W2756242092","https://openalex.org/W2897121118","https://openalex.org/W2940732649","https://openalex.org/W2944923436","https://openalex.org/W2946787697","https://openalex.org/W2949034001","https://openalex.org/W2964301151","https://openalex.org/W2979473749","https://openalex.org/W3040647658","https://openalex.org/W3045194428","https://openalex.org/W4212802630","https://openalex.org/W4295768092","https://openalex.org/W4312453611","https://openalex.org/W4316021888","https://openalex.org/W6645857568","https://openalex.org/W6658011310","https://openalex.org/W6676343495","https://openalex.org/W6808292226","https://openalex.org/W6848352286"],"related_works":["https://openalex.org/W2292979300","https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865"],"abstract_inverted_index":{"In":[0],"image":[1,14,21,62,121,130],"processing,":[2],"segmentation":[3],"is":[4,71,109],"a":[5,48],"fundamental":[6],"problem":[7],"but":[8],"an":[9],"important":[10],"step":[11],"for":[12,58],"advanced":[13],"processing":[15],"problems.":[16],"When":[17],"dealing":[18],"with":[19,133,145],"hyperspectral":[20,59,118,129],"data,":[22],"the":[23,31,43,74,80,93,113,139,146],"task":[24],"becomes":[25],"much":[26],"more":[27],"challenging":[28],"due":[29],"to":[30,111],"large":[32],"number":[33],"of":[34,42,50,117],"features":[35,51],"(dimension),":[36],"higher":[37],"nonlinearity,":[38],"and":[39,100,115],"greater":[40],"capacity":[41],"data.":[44],"This":[45,86],"paper":[46],"proposes":[47],"solution":[49],"reduction":[52,69],"collaborative":[53,106],"fuzzy":[54],"c-means":[55],"clustering":[56,89,94],"(FR-CFCM)":[57],"remote":[60,119],"sensing":[61,120],"analysis":[63,122],"using":[64],"random":[65],"projection.":[66],"The":[67,124],"dimensional":[68],"technique":[70],"based":[72],"on":[73,127],"Johnson":[75],"Lindenstrauss":[76],"lemma":[77],"algorithm,":[78],"preserving":[79],"relative":[81],"distance":[82],"between":[83],"data":[84,131],"samples.":[85],"can":[87],"make":[88],"easier":[90],"without":[91],"affecting":[92],"results.":[95,123],"Moreover,":[96],"by":[97],"reducing":[98],"dimensionality":[99],"sharing":[101],"information":[102],"among":[103],"sub-data":[104],"in":[105],"clustering,":[107],"it":[108],"possible":[110],"improve":[112],"performance":[114],"accuracy":[116],"experiments":[125],"conducted":[126],"two":[128],"sets":[132],"five":[134],"validity":[135],"indexes":[136],"show":[137],"that":[138],"proposed":[140],"methods":[141],"perform":[142],"better":[143],"compared":[144],"other":[147],"methods.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-01-25T23:04:38.658462","created_date":"2025-10-10T00:00:00"}