{"id":"https://openalex.org/W2897050000","doi":"https://doi.org/10.1109/ijcnn.2018.8489201","title":"Hierarchical Laplacian Score for unsupervised feature selection","display_name":"Hierarchical Laplacian Score for unsupervised feature selection","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897050000","doi":"https://doi.org/10.1109/ijcnn.2018.8489201","mag":"2897050000"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","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/A5060592446","display_name":"Nhat-Quang Doan","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Nhat-Quang Doan","raw_affiliation_strings":["University of Science and Technology of Hanoi ICTLab, 506 USTH building 18 Hoang Quoc Viet Str, Cau Giay, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of Hanoi ICTLab, 506 USTH building 18 Hoang Quoc Viet Str, Cau Giay, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047336564","display_name":"Hanane Azzag","orcid":"https://orcid.org/0000-0001-6876-0688"},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hanane Azzag","raw_affiliation_strings":["LIPN-UMR 7030, University of Paris 13 - CNRS 99, av. J-B Celment, Villetaneuse, France"],"affiliations":[{"raw_affiliation_string":"LIPN-UMR 7030, University of Paris 13 - CNRS 99, av. J-B Celment, Villetaneuse, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210156583","https://openalex.org/I1294671590","https://openalex.org/I4210091279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023422312","display_name":"Mustapha Lebbah","orcid":"https://orcid.org/0000-0001-7245-6371"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mustapha Lebbah","raw_affiliation_strings":["LIPN-UMR 7030, University of Paris 13 - CNRS 99, av. J-B Celment, Villetaneuse, France"],"affiliations":[{"raw_affiliation_string":"LIPN-UMR 7030, University of Paris 13 - CNRS 99, av. J-B Celment, Villetaneuse, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210156583","https://openalex.org/I1294671590","https://openalex.org/I4210091279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060592446"],"corresponding_institution_ids":["https://openalex.org/I94518387"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62649304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9934999942779541,"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":0.9934999942779541,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9926000237464905,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.714286208152771},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5862031579017639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5847427248954773},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5806918144226074},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5389436483383179},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.5180178284645081},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5137237310409546},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.49795985221862793},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.492575466632843},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4847104549407959},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46969103813171387},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46636757254600525},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44343119859695435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.426449179649353},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18223613500595093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714286208152771},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5862031579017639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5847427248954773},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5806918144226074},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5389436483383179},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.5180178284645081},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5137237310409546},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.49795985221862793},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.492575466632843},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4847104549407959},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46969103813171387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46636757254600525},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44343119859695435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.426449179649353},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18223613500595093},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/ijcnn.2018.8489201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W62404953","https://openalex.org/W135467536","https://openalex.org/W1490760466","https://openalex.org/W1661871015","https://openalex.org/W1970696760","https://openalex.org/W2001141328","https://openalex.org/W2017337590","https://openalex.org/W2053186076","https://openalex.org/W2073523759","https://openalex.org/W2113952909","https://openalex.org/W2119387367","https://openalex.org/W2121007818","https://openalex.org/W2132379769","https://openalex.org/W2149620660","https://openalex.org/W2156718197","https://openalex.org/W2158933803","https://openalex.org/W2297395784","https://openalex.org/W4236706032","https://openalex.org/W4285719527","https://openalex.org/W6602507595","https://openalex.org/W6636914306","https://openalex.org/W6677853180","https://openalex.org/W6681822384","https://openalex.org/W6682755970","https://openalex.org/W6697634807"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2393816671","https://openalex.org/W2158836806","https://openalex.org/W2083665254","https://openalex.org/W1926736923","https://openalex.org/W3200375535"],"abstract_inverted_index":{"In":[0],"this":[1,33,59],"paper,":[2],"we":[3,35],"address":[4],"the":[5,18,26,37,47,83,86],"problem":[6],"of":[7,20,57,85],"unsupervised":[8],"feature":[9],"selection.":[10],"This":[11],"is":[12,61],"an":[13],"important":[14],"challenge":[15],"due":[16],"to":[17,62],"absence":[19],"class":[21],"labels":[22],"that":[23,45],"would":[24],"guide":[25],"search":[27],"for":[28,72],"relevant":[29],"information.":[30],"Motivated":[31],"by":[32],"challenge,":[34],"define":[36],"new":[38],"method":[39],"named":[40],"Hierarchical":[41],"Laplacian":[42,48],"Score":[43,49],"(HLS)":[44],"constrains":[46],"using":[50,58],"a":[51],"tree":[52],"topology":[53],"structure.":[54],"The":[55],"purpose":[56],"structure":[60,67],"automatically":[63],"discover":[64],"local":[65,69],"data":[66,74],"and":[68,91],"nearest":[70],"neighbors":[71],"each":[73],"object.":[75],"Experimental":[76],"results":[77],"on":[78],"various":[79],"datasets":[80],"have":[81],"demonstrated":[82],"effectiveness":[84],"proposed":[87],"algorithm":[88],"in":[89],"clustering":[90],"classification":[92],"applications.":[93]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
