{"id":"https://openalex.org/W4390971180","doi":"https://doi.org/10.1109/bibm58861.2023.10385296","title":"Unsupervised Feature Selection by Fusing Spectral Clustering and Locality Preserving Projection","display_name":"Unsupervised Feature Selection by Fusing Spectral Clustering and Locality Preserving Projection","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390971180","doi":"https://doi.org/10.1109/bibm58861.2023.10385296"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10385296","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm58861.2023.10385296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5082071336","display_name":"Xiongwen Quan","orcid":"https://orcid.org/0000-0003-4138-4365"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiongwen Quan","raw_affiliation_strings":["Nankai University,College of Artificial Intelligence,Tianjin,China","College of Artificial Intelligence, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Nankai University,College of Artificial Intelligence,Tianjin,China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106941638","display_name":"Xia Guo","orcid":"https://orcid.org/0000-0003-4889-2696"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Guo","raw_affiliation_strings":["Nankai University,College of Artificial Intelligence,Tianjin,China","College of Artificial Intelligence, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Nankai University,College of Artificial Intelligence,Tianjin,China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399261","display_name":"Han Zhang","orcid":"https://orcid.org/0000-0001-7750-0028"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zhang","raw_affiliation_strings":["Nankai University,College of Artificial Intelligence,Tianjin,China","College of Artificial Intelligence, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Nankai University,College of Artificial Intelligence,Tianjin,China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044767078","display_name":"Mingjing Han","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjing Han","raw_affiliation_strings":["Nankai University,College of Artificial Intelligence,Tianjin,China","College of Artificial Intelligence, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Nankai University,College of Artificial Intelligence,Tianjin,China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103118807","display_name":"Zeyuan Li","orcid":"https://orcid.org/0000-0002-3431-381X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyuan Li","raw_affiliation_strings":["Nankai University,College of Artificial Intelligence,Tianjin,China","College of Artificial Intelligence, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Nankai University,College of Artificial Intelligence,Tianjin,China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090843422","display_name":"Yanbin Yin","orcid":"https://orcid.org/0000-0001-7667-881X"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanbin Yin","raw_affiliation_strings":["University of Nebraska – Lincoln,Department of Food Science and Technology,Lincoln,NE,USA,68588"],"affiliations":[{"raw_affiliation_string":"University of Nebraska – Lincoln,Department of Food Science and Technology,Lincoln,NE,USA,68588","institution_ids":["https://openalex.org/I114395901"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082071336"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18746603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"1400","last_page":"1405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9934999942779541,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/feature-selection","display_name":"Feature selection","score":0.6666854023933411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6281699538230896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.625827431678772},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5983536839485168},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5696123242378235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5438033938407898},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5014266967773438},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4942484200000763},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.49104905128479004},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.44923147559165955},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.44179508090019226},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42868155241012573},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.41380074620246887},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40270450711250305},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3218843340873718}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6666854023933411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281699538230896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.625827431678772},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5983536839485168},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5696123242378235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5438033938407898},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5014266967773438},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4942484200000763},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.49104905128479004},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.44923147559165955},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.44179508090019226},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42868155241012573},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.41380074620246887},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40270450711250305},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3218843340873718},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10385296","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm58861.2023.10385296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W141062567","https://openalex.org/W1979089718","https://openalex.org/W2076019763","https://openalex.org/W2083666679","https://openalex.org/W2090538957","https://openalex.org/W2154053567","https://openalex.org/W2158933803","https://openalex.org/W2171837816","https://openalex.org/W2195574582","https://openalex.org/W2519452557","https://openalex.org/W2576275366","https://openalex.org/W2862963283","https://openalex.org/W2887527983","https://openalex.org/W2888734194","https://openalex.org/W2936090626","https://openalex.org/W2955954653","https://openalex.org/W3024731928","https://openalex.org/W3026742379","https://openalex.org/W3027549180","https://openalex.org/W3036579115","https://openalex.org/W3045347476","https://openalex.org/W3128984444","https://openalex.org/W3134416725","https://openalex.org/W3165608758","https://openalex.org/W3174716076","https://openalex.org/W3212838933","https://openalex.org/W4220994103","https://openalex.org/W4282934215","https://openalex.org/W4295872248","https://openalex.org/W6637461618"],"related_works":["https://openalex.org/W2466816617","https://openalex.org/W1555349535","https://openalex.org/W1556451512","https://openalex.org/W1970834875","https://openalex.org/W3174028392","https://openalex.org/W842936808","https://openalex.org/W4234091740","https://openalex.org/W2985680200","https://openalex.org/W4322721277","https://openalex.org/W1983936910"],"abstract_inverted_index":{"Due":[0],"to":[1,116,171],"feature":[2,10,22,56,105,129,199],"redundancy":[3],"in":[4,95,161,186],"high":[5],"dimensional":[6],"data,":[7,30],"the":[8,26,64,72,80,83,90,103,117,122,151,196],"unsupervised":[9],"selection":[11,23,57,106,130],"methods":[12],"for":[13,98],"dimension":[14],"reduction":[15],"have":[16,42],"attracted":[17],"considerable":[18],"attention.":[19],"The":[20,85],"current":[21],"frameworks":[24],"consider":[25],"global":[27,36],"information":[28,75],"of":[29,35,82,125,135,198,205],"but":[31],"ignore":[32],"mutual":[33,99,144],"screening":[34,100],"and":[37,40,71,77,89,101,120,158,169,176,211],"local":[38,73,91,123],"information,":[39],"there":[41],"been":[43],"no":[44],"important":[45],"breakthroughs":[46],"on":[47,60,182],"this":[48,147],"approach":[49,157],"research":[50],"recently.":[51],"We":[52],"propose":[53],"a":[54],"novel":[55],"method":[58,111],"based":[59],"iterative":[61,108,154],"optimization":[62,137,155],"between":[63],"pseudo":[65,86,118,140],"label":[66,87,119,141],"matrix":[67,88,142],"from":[68,128],"spectral":[69],"clustering":[70],"projection":[74,92,175],"(SNUFS),":[76],"then":[78],"prove":[79],"convergence":[81,159],"method.":[84],"are":[93],"designed":[94],"objective":[96,152],"function":[97],"guiding":[102],"regularization":[104],"by":[107],"approach.":[109],"Our":[110],"selects":[112],"features":[113],"most":[114],"relevant":[115],"preserves":[121],"structure":[124],"original":[126],"data":[127],"matrix,":[131],"where":[132],"alternate":[133],"iteration":[134],"different":[136,187],"items":[138],"including":[139],"achieve":[143],"screening.":[145],"For":[146],"method,":[148],"we":[149,164],"give":[150],"function,":[153],"fusion":[156],"analysis":[160],"detail.":[162],"Furthermore,":[163],"use":[165],"K-Nearest":[166],"Neighbor":[167],"(KNN)":[168],"K-means":[170],"implement":[172],"locality":[173],"preserving":[174],"obtain":[177],"two":[178],"specific":[179],"algorithms.":[180,215],"Experiments":[181],"four":[183],"real-world":[184],"datasets":[185],"fields":[188],"demonstrate":[189],"that":[190],"our":[191,203],"algorithms":[192],"can":[193],"effectively":[194],"improve":[195],"accuracy":[197],"selection.":[200],"In":[201],"particular,":[202],"algorithm":[204],"KNN":[206],"implementation":[207],"is":[208],"more":[209],"effective":[210],"outperforms":[212],"other":[213],"major":[214]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}