{"id":"https://openalex.org/W4366087567","doi":"https://doi.org/10.1145/3589767","title":"Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering","display_name":"Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering","publication_year":2023,"publication_date":"2023-04-17","ids":{"openalex":"https://openalex.org/W4366087567","doi":"https://doi.org/10.1145/3589767"},"language":"en","primary_location":{"id":"doi:10.1145/3589767","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589767","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","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/A5100628696","display_name":"Haoran Chen","orcid":"https://orcid.org/0000-0003-2407-8518"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Chen","raw_affiliation_strings":["Zhengzhou University of Light Industry"],"raw_orcid":"https://orcid.org/0000-0003-2407-8518","affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666206","display_name":"Chen Xu","orcid":"https://orcid.org/0000-0001-5143-1730"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Chen","raw_affiliation_strings":["Zhengzhou University of Light Industry"],"raw_orcid":"https://orcid.org/0000-0001-5143-1730","affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040184434","display_name":"Hongwei Tao","orcid":"https://orcid.org/0000-0002-4722-5915"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Tao","raw_affiliation_strings":["Zhengzhou University of Light Industry"],"raw_orcid":"https://orcid.org/0000-0002-4722-5915","affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025371735","display_name":"Zuhe Li","orcid":"https://orcid.org/0000-0002-2511-3226"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuhe Li","raw_affiliation_strings":["Zhengzhou University of Light Industry"],"raw_orcid":"https://orcid.org/0000-0002-2511-3226","affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100411464","display_name":"Xiao Wang","orcid":"https://orcid.org/0000-0002-3113-5149"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wang","raw_affiliation_strings":["Zhengzhou University of Light Industry"],"raw_orcid":"https://orcid.org/0000-0002-3113-5149","affiliations":[{"raw_affiliation_string":"Zhengzhou University of Light Industry","institution_ids":["https://openalex.org/I23171815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I23171815"],"apc_list":null,"apc_paid":null,"fwci":0.9715,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69002948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"17","issue":"9","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9908999800682068,"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":0.987500011920929,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8662915229797363},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6920539140701294},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6307051181793213},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6238909959793091},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6214063167572021},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5817189812660217},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5321029424667358},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5311098694801331},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5036608576774597},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.45068493485450745},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.44741928577423096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42226824164390564},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41210633516311646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40428051352500916},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33177340030670166},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3165712356567383}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8662915229797363},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6920539140701294},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6307051181793213},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6238909959793091},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6214063167572021},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5817189812660217},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5321029424667358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5311098694801331},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5036608576774597},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.45068493485450745},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.44741928577423096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42226824164390564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41210633516311646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40428051352500916},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33177340030670166},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3165712356567383},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589767","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589767","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1168617823","display_name":null,"funder_award_id":"61906175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2542722858","display_name":null,"funder_award_id":"222102210096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3488483788","display_name":null,"funder_award_id":"222102210010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3838967487","display_name":null,"funder_award_id":"232102210014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4804898738","display_name":null,"funder_award_id":"2020BSJJ067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7715361196","display_name":"\u57fa\u4e8e\u80fd\u91cf\u6700\u5c0f\u5316\u7684\u52a8\u6001\u573a\u666f\u5355\u76ee\u89c6\u89c9\u4e09\u7ef4\u91cd\u5efa\u7814\u7a76","funder_award_id":"61772050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8273702334","display_name":null,"funder_award_id":"No. 61906175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8630332848","display_name":null,"funder_award_id":"61702462","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8733394119","display_name":null,"funder_award_id":"61906175, 61772050, 61702462","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/F4320322501","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16"},{"id":"https://openalex.org/F4320322766","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21"},{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W191001584","https://openalex.org/W1824949047","https://openalex.org/W1992300915","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2003217181","https://openalex.org/W2028879127","https://openalex.org/W2100549954","https://openalex.org/W2103560185","https://openalex.org/W2103972604","https://openalex.org/W2118120419","https://openalex.org/W2121947440","https://openalex.org/W2123031198","https://openalex.org/W2123921160","https://openalex.org/W2125874614","https://openalex.org/W2145152441","https://openalex.org/W2145962650","https://openalex.org/W2225449929","https://openalex.org/W2262946425","https://openalex.org/W2512563520","https://openalex.org/W2614580201","https://openalex.org/W2763148304","https://openalex.org/W2792991240","https://openalex.org/W2797647736","https://openalex.org/W2800791174","https://openalex.org/W2804847616","https://openalex.org/W2809034148","https://openalex.org/W2877871066","https://openalex.org/W2886265585","https://openalex.org/W2908931523","https://openalex.org/W2936535814","https://openalex.org/W2951085447","https://openalex.org/W2964157783","https://openalex.org/W3014016484","https://openalex.org/W3039121139","https://openalex.org/W3045720675","https://openalex.org/W3082776374","https://openalex.org/W3087124270","https://openalex.org/W3094771439","https://openalex.org/W3102822594","https://openalex.org/W3104060928","https://openalex.org/W3117488606","https://openalex.org/W3156905473","https://openalex.org/W3174874173","https://openalex.org/W3176872376","https://openalex.org/W3177174095","https://openalex.org/W4231934124","https://openalex.org/W4236965008","https://openalex.org/W4284968770","https://openalex.org/W4289674194","https://openalex.org/W4293187572","https://openalex.org/W6631834165"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W2375574759","https://openalex.org/W4317486777","https://openalex.org/W4389669152","https://openalex.org/W2383239174","https://openalex.org/W2166963679"],"abstract_inverted_index":{"The":[0,156],"dimensionality":[1,10,28,67,76],"reduction":[2,29,68,77],"techniques":[3],"are":[4,35,83],"often":[5],"used":[6],"to":[7,47,96,121,139],"reduce":[8],"data":[9,50,105],"for":[11,73],"computational":[12],"efficiency":[13],"or":[14],"other":[15,120],"purposes":[16],"in":[17,37,151],"existing":[18],"low-rank":[19,32,63,80,114],"representation":[20,33,45,64,81,115,129],"(LRR)-based":[21],"methods.":[22],"However,":[23],"the":[24,42,48,98,103,108,113,124,141,164],"two":[25],"steps":[26],"of":[27,44,166],"and":[30,78,112,128],"learning":[31,79],"coefficients":[34,46,82,116],"implemented":[36],"an":[38,147],"independent":[39],"way;":[40],"thus,":[41],"adaptability":[43],"original":[49,104],"space":[51],"may":[52],"not":[53],"be":[54],"guaranteed.":[55],"This":[56,89],"article":[57],"proposes":[58],"a":[59,86,92,133,152],"novel":[60],"model,":[61],"i.e.,":[62],"with":[65,118],"adaptive":[66],"(LRRARD)":[69],"via":[70],"manifold":[71,134],"optimization":[72,135,149],"clustering,":[74],"where":[75],"integrated":[84],"into":[85],"unified":[87],"framework.":[88],"model":[90],"introduces":[91],"low-dimensional":[93,109],"projection":[94,99,110,126,143],"matrix":[95,111,127],"find":[97],"that":[100],"best":[101,125],"fits":[102],"space.":[106,155],"And":[107],"interact":[117],"each":[119],"simultaneously":[122],"obtain":[123,140],"coefficients.":[130],"In":[131],"addition,":[132],"method":[136,150],"is":[137,146],"employed":[138],"optimal":[142],"matrix,":[144],"which":[145],"unconstrained":[148],"constrained":[153],"search":[154],"experimental":[157],"results":[158],"on":[159],"several":[160],"real":[161],"datasets":[162],"demonstrate":[163],"superiority":[165],"our":[167],"proposed":[168],"method.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}