{"id":"https://openalex.org/W2616959213","doi":"https://doi.org/10.1162/neco_a_00973","title":"A Weight-Adaptive Laplacian Embedding for Graph-Based Clustering","display_name":"A Weight-Adaptive Laplacian Embedding for Graph-Based Clustering","publication_year":2017,"publication_date":"2017-05-31","ids":{"openalex":"https://openalex.org/W2616959213","doi":"https://doi.org/10.1162/neco_a_00973","mag":"2616959213","pmid":"https://pubmed.ncbi.nlm.nih.gov/28562218"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_00973","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00973","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101858019","display_name":"De Cheng","orcid":"https://orcid.org/0000-0002-5748-315X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"De Cheng","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotic, Xi'an Jiaotong University, Xi'an 710049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotic, Xi'an Jiaotong University, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003222421","display_name":"Feiping Nie","orcid":"https://orcid.org/0000-0002-0871-6519"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feiping Nie","raw_affiliation_strings":["Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi'an 710072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi'an 710072, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080244427","display_name":"Jiande Sun","orcid":"https://orcid.org/0000-0001-6157-2051"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiande Sun","raw_affiliation_strings":["School of Information Science and Engineering and Institute of Data Science and Technology, Shandong Normal University, Jinan 250358, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering and Institute of Data Science and Technology, Shandong Normal University, Jinan 250358, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687952","display_name":"Yihong Gong","orcid":"https://orcid.org/0000-0002-1793-5836"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yihong Gong","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotic, Xi'an Jiaotong University, Xi'an 710049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotic, Xi'an Jiaotong University, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003222421","https://openalex.org/A5080244427","https://openalex.org/A5100687952","https://openalex.org/A5101858019"],"corresponding_institution_ids":["https://openalex.org/I17145004","https://openalex.org/I28006308","https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":1.595,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87397268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"29","issue":"7","first_page":"1902","last_page":"1918"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9987000226974487,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9965999722480774,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7993828058242798},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.5160186290740967},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48337048292160034},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.480047345161438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4676116704940796},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46440768241882324},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4608132243156433},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.4265807569026947},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4211835265159607},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36973726749420166},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3526645302772522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34167948365211487},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2384379804134369}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7993828058242798},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.5160186290740967},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48337048292160034},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.480047345161438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4676116704940796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46440768241882324},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4608132243156433},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.4265807569026947},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4211835265159607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36973726749420166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3526645302772522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34167948365211487},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2384379804134369}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/neco_a_00973","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00973","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:28562218","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28562218","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W62192748","https://openalex.org/W1501531539","https://openalex.org/W1651093245","https://openalex.org/W1979089718","https://openalex.org/W1986007546","https://openalex.org/W2012184117","https://openalex.org/W2013029404","https://openalex.org/W2085348055","https://openalex.org/W2118718620","https://openalex.org/W2119474464","https://openalex.org/W2121197635","https://openalex.org/W2121947440","https://openalex.org/W2124890708","https://openalex.org/W2125531986","https://openalex.org/W2131828344","https://openalex.org/W2132320220","https://openalex.org/W2132914434","https://openalex.org/W2155754954","https://openalex.org/W2176433868","https://openalex.org/W2238153681","https://openalex.org/W2244035566","https://openalex.org/W2406581873","https://openalex.org/W2526468814","https://openalex.org/W2577472518","https://openalex.org/W2579223288","https://openalex.org/W2602753196","https://openalex.org/W2612972698","https://openalex.org/W2617837836","https://openalex.org/W2913602408","https://openalex.org/W2999905431","https://openalex.org/W3120740533","https://openalex.org/W4229971152","https://openalex.org/W4242959488","https://openalex.org/W4318901880"],"related_works":["https://openalex.org/W2165695836","https://openalex.org/W3168768270","https://openalex.org/W2970954390","https://openalex.org/W2884662492","https://openalex.org/W2181939267","https://openalex.org/W1491908038","https://openalex.org/W2036503911","https://openalex.org/W1987634878","https://openalex.org/W2626264717","https://openalex.org/W4310575853"],"abstract_inverted_index":{"Graph-based":[0],"clustering":[1,4,13,32,55,113,141],"methods":[2,95],"perform":[3],"on":[5,97,125],"a":[6,67],"fixed":[7],"input":[8,86],"data":[9,46,69,87,127,132],"graph.":[10,88],"Thus":[11],"such":[12],"results":[14,124],"are":[15],"sensitive":[16],"to":[17,49,80,119],"the":[18,30,45,54,76,81,85,98,135],"particular":[19],"graph":[20,47,78],"construction.":[21],"If":[22],"this":[23,41],"initial":[24,77],"construction":[25],"is":[26],"of":[27,36,93,137],"low":[28,37],"quality,":[29],"resulting":[31],"may":[33],"also":[34],"be":[35,50],"quality.":[38],"We":[39,89,115],"address":[40],"drawback":[42],"by":[43],"allowing":[44],"itself":[48],"adaptively":[51,74],"adjusted":[52],"in":[53,84],"procedure.":[56],"In":[57],"particular,":[58],"our":[59],"proposed":[60],"weight":[61,83,106],"adaptive":[62],"Laplacian":[63],"(WAL)":[64],"method":[65],"learns":[66],"new":[68,111,139],"similarity":[70,82],"matrix":[71],"that":[72,108],"can":[73],"adjust":[75],"according":[79],"develop":[90],"three":[91,110],"versions":[92],"these":[94,121,138],"based":[96],"L2-norm,":[99],"fuzzy":[100],"entropy":[101],"regularizer,":[102],"and":[103,129],"another":[104],"exponential-based":[105],"strategy,":[107],"yield":[109],"graph-based":[112,140],"objectives.":[114,122],"derive":[116],"optimization":[117],"algorithms":[118],"solve":[120],"Experimental":[123],"synthetic":[126],"sets":[128,133],"real-world":[130],"benchmark":[131],"exhibit":[134],"effectiveness":[136],"methods.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
