{"id":"https://openalex.org/W4221058596","doi":"https://doi.org/10.1109/tnnls.2022.3151498","title":"Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis","display_name":"Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis","publication_year":2022,"publication_date":"2022-03-09","ids":{"openalex":"https://openalex.org/W4221058596","doi":"https://doi.org/10.1109/tnnls.2022.3151498","pmid":"https://pubmed.ncbi.nlm.nih.gov/35263258"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3151498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3151498","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","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/A5041519364","display_name":"Lirong Wu","orcid":"https://orcid.org/0000-0001-5551-3194"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lirong Wu","raw_affiliation_strings":["AI Laboratory, School of Engineering, Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5551-3194","affiliations":[{"raw_affiliation_string":"AI Laboratory, School of Engineering, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064980116","display_name":"Lifan Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifan Yuan","raw_affiliation_strings":["AI Laboratory, School of Engineering, Westlake University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Laboratory, School of Engineering, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068045654","display_name":"Guojiang Zhao","orcid":"https://orcid.org/0000-0001-7166-7089"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojiang Zhao","raw_affiliation_strings":["AI Laboratory, School of Engineering, Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7166-7089","affiliations":[{"raw_affiliation_string":"AI Laboratory, School of Engineering, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031613239","display_name":"Haitao Lin","orcid":"https://orcid.org/0000-0002-6379-6590"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Lin","raw_affiliation_strings":["AI Laboratory, School of Engineering, Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6379-6590","affiliations":[{"raw_affiliation_string":"AI Laboratory, School of Engineering, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082786719","display_name":"Stan Z. Li","orcid":"https://orcid.org/0000-0002-2961-8096"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Stan Z. Li","raw_affiliation_strings":["AI Laboratory, School of Engineering, Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2961-8096","affiliations":[{"raw_affiliation_string":"AI Laboratory, School of Engineering, Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3133055985"],"apc_list":null,"apc_paid":null,"fwci":1.5661,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83753634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"34","issue":"11","first_page":"8543","last_page":"8554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9810000061988831,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9810000061988831,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9693999886512756,"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/T10057","display_name":"Face and Expression Recognition","score":0.9537000060081482,"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":0.87571120262146},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.8203134536743164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6639107465744019},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.512519359588623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4571495056152344},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.45106130838394165},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.43630629777908325},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4352726936340332},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.43447136878967285},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37147456407546997}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.87571120262146},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8203134536743164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6639107465744019},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.512519359588623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4571495056152344},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.45106130838394165},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.43630629777908325},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4352726936340332},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.43447136878967285},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37147456407546997},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3151498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3151498","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:35263258","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35263258","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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2543416449","display_name":null,"funder_award_id":"U21A20427","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1673310716","https://openalex.org/W1992419399","https://openalex.org/W2100495367","https://openalex.org/W2121947440","https://openalex.org/W2127218421","https://openalex.org/W2187089797","https://openalex.org/W2222512263","https://openalex.org/W2293423216","https://openalex.org/W2405933695","https://openalex.org/W2533545350","https://openalex.org/W2741943936","https://openalex.org/W2753396776","https://openalex.org/W2786672974","https://openalex.org/W2838874902","https://openalex.org/W2938029723","https://openalex.org/W2939176882","https://openalex.org/W2952006246","https://openalex.org/W2953791858","https://openalex.org/W2962852342","https://openalex.org/W2963761396","https://openalex.org/W2964074409","https://openalex.org/W2964275228","https://openalex.org/W3005680577","https://openalex.org/W3015507004","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3036224891","https://openalex.org/W3047358409","https://openalex.org/W3088889289","https://openalex.org/W3089039599","https://openalex.org/W3109781852","https://openalex.org/W3168468320","https://openalex.org/W3207971907","https://openalex.org/W4212863985","https://openalex.org/W4288261900","https://openalex.org/W6631190155","https://openalex.org/W6637131181","https://openalex.org/W6678914141","https://openalex.org/W6685380521","https://openalex.org/W6728550200","https://openalex.org/W6740364378","https://openalex.org/W6747544821","https://openalex.org/W6748816842","https://openalex.org/W6766628391","https://openalex.org/W6774314701","https://openalex.org/W6779326418","https://openalex.org/W6779997284","https://openalex.org/W6786582426","https://openalex.org/W6796791165"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241","https://openalex.org/W2354420595"],"abstract_inverted_index":{"High-dimensional":[0],"data":[1,14,62,74,130],"analysis":[2],"for":[3,64,136,152,173,192],"exploration":[4],"and":[5,13,73,100,138,215],"discovery":[6],"includes":[7],"two":[8,18,106,119],"fundamental":[9],"tasks:":[10],"deep":[11,71,98],"clustering":[12,44,72,99,137],"visualization.":[15,153,194,217],"When":[16],"these":[17],"associated":[19,107],"tasks":[20,36,108],"are":[21],"done":[22],"separately,":[23],"as":[24],"is":[25,46,81,159,181],"often":[26,47],"the":[27,35,43,50,53,61,105,128,140,143,148,155,170,177,189,200],"case":[28],"thus":[29],"far,":[30],"disagreements":[31],"can":[32],"occur":[33],"among":[34],"in":[37,76,208],"terms":[38,209],"of":[39,52,118,169,210],"geometry":[40,63,191],"preservation.":[41],"Namely,":[42],"process":[45],"accompanied":[48],"by":[49,162,183],"corruption":[51,168],"geometric":[54,171],"structure,":[55],"whereas":[56],"visualization":[57,75,101],"aims":[58],"to":[59,69,103,110,132,147,187],"preserve":[60],"better":[65,174,193],"interpretation.":[66],"Therefore,":[67],"how":[68],"achieve":[70],"an":[77,82],"end-to-end":[78,109],"unified":[79],"framework":[80,116,202],"important":[83],"but":[84],"challenging":[85],"problem.":[86],"In":[87],"this":[88],"article,":[89],"we":[90],"propose":[91],"a":[92],"novel":[93],"neural":[94],"network-based":[95],"method,":[96],"called":[97],"(DCV),":[102],"accomplish":[104],"resolve":[111],"their":[112],"disagreements.":[113],"The":[114],"DCV":[115,201],"consists":[117],"nonlinear":[120],"dimensionality":[121],"reduction":[122],"(NLDR)":[123],"transformations:":[124],"1)":[125],"one":[126,163,184],"from":[127,142],"input":[129],"space":[131,135,146,151],"latent":[133,144],"feature":[134,145],"2)":[139],"other":[141,204],"final":[149],"2-D":[150],"Importantly,":[154],"first":[156],"NLDR":[157,179],"transformation":[158,180],"mainly":[160],"optimized":[161,182],"Clustering":[164],"Loss,":[165],"allowing":[166],"arbitrary":[167],"structure":[172],"clustering,":[175],"while":[176],"second":[178],"Geometry-Preserving":[185],"Loss":[186],"recover":[188],"corrupted":[190],"Extensive":[195],"comparative":[196],"results":[197],"show":[198],"that":[199],"outperforms":[203],"leading":[205],"clustering-visualization":[206],"algorithms":[207],"both":[211],"quantitative":[212],"evaluation":[213],"metrics":[214],"qualitative":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
