{"id":"https://openalex.org/W3083336090","doi":"https://doi.org/10.1109/tkde.2020.3022072","title":"Learning Inter- and Intra-manifolds for Matrix Factorization-based Multi-Aspect Data Clustering","display_name":"Learning Inter- and Intra-manifolds for Matrix Factorization-based Multi-Aspect Data Clustering","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3083336090","doi":"https://doi.org/10.1109/tkde.2020.3022072","mag":"3083336090"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.3022072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3022072","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2009.02859","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037644165","display_name":"Khanh Luong","orcid":"https://orcid.org/0000-0001-6981-7367"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Khanh Luong","raw_affiliation_strings":["School of Computer Science and QUT Centre for Data Science, Queensland University of Technology, Brisbane, QLD, Australia","Queensland University of Technology.,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and QUT Centre for Data Science, Queensland University of Technology, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"Queensland University of Technology.,","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015158048","display_name":"Richi Nayak","orcid":"https://orcid.org/0000-0002-9954-0159"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Richi Nayak","raw_affiliation_strings":["School of Computer Science and QUT Centre for Data Science, Queensland University of Technology, Brisbane, QLD, Australia","Queensland University of Technology.,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and QUT Centre for Data Science, Queensland University of Technology, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"Queensland University of Technology.,","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I160993911"],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.09336938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9922999739646912,"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":0.9922999739646912,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9697999954223633,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9678000211715698,"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/cluster-analysis","display_name":"Cluster analysis","score":0.791986346244812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6950913071632385},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6813268661499023},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5624293088912964},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5121407508850098},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.5024423599243164},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5004804134368896},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.48068103194236755},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48004043102264404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4563198685646057},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.43382006883621216},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.43195176124572754},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.42724597454071045},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41761332750320435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3255262076854706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22235068678855896},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.13301002979278564}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.791986346244812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6950913071632385},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6813268661499023},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5624293088912964},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5121407508850098},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.5024423599243164},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5004804134368896},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.48068103194236755},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48004043102264404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4563198685646057},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.43382006883621216},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.43195176124572754},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.42724597454071045},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41761332750320435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3255262076854706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22235068678855896},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.13301002979278564},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tkde.2020.3022072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3022072","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2009.02859","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.02859","pdf_url":"https://arxiv.org/pdf/2009.02859","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:eprints.qut.edu.au:205700","is_oa":true,"landing_page_url":"https://eprints.qut.edu.au/205700/1/DiMMA_KhanhLuong.pdf","pdf_url":"https://eprints.qut.edu.au/205700/1/DiMMA_KhanhLuong.pdf","source":{"id":"https://openalex.org/S4306402607","display_name":"QUT ePrints (Queensland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I160993911","host_organization_name":"Queensland University of Technology","host_organization_lineage":["https://openalex.org/I160993911"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"Contribution to Journal"},{"id":"mag:3083336090","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2009.02859.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2009.02859","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2009.02859","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2009.02859","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.02859","pdf_url":"https://arxiv.org/pdf/2009.02859","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3083336090.pdf","grobid_xml":"https://content.openalex.org/works/W3083336090.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W40976687","https://openalex.org/W82771173","https://openalex.org/W146434704","https://openalex.org/W1523385540","https://openalex.org/W1589109628","https://openalex.org/W1651093245","https://openalex.org/W1672197616","https://openalex.org/W1883346539","https://openalex.org/W1902027874","https://openalex.org/W1981081578","https://openalex.org/W2006533296","https://openalex.org/W2030103537","https://openalex.org/W2043545458","https://openalex.org/W2043819533","https://openalex.org/W2049137142","https://openalex.org/W2058240487","https://openalex.org/W2075421061","https://openalex.org/W2093545205","https://openalex.org/W2095646393","https://openalex.org/W2097308346","https://openalex.org/W2104290444","https://openalex.org/W2108119513","https://openalex.org/W2109535575","https://openalex.org/W2126392694","https://openalex.org/W2132914434","https://openalex.org/W2135029798","https://openalex.org/W2136635436","https://openalex.org/W2138180870","https://openalex.org/W2142742813","https://openalex.org/W2154415691","https://openalex.org/W2155904486","https://openalex.org/W2162316550","https://openalex.org/W2168103112","https://openalex.org/W2168175183","https://openalex.org/W2184188583","https://openalex.org/W2213814902","https://openalex.org/W2294644361","https://openalex.org/W2296319761","https://openalex.org/W2529748059","https://openalex.org/W2587115404","https://openalex.org/W2605146283","https://openalex.org/W2770558925","https://openalex.org/W2794860871","https://openalex.org/W2883725317","https://openalex.org/W2884851420","https://openalex.org/W2892816441","https://openalex.org/W2903584280","https://openalex.org/W2962852342","https://openalex.org/W2962975498","https://openalex.org/W2963701987","https://openalex.org/W2964074409","https://openalex.org/W2969285538","https://openalex.org/W3031917049","https://openalex.org/W3143596294","https://openalex.org/W4250589301","https://openalex.org/W4250657332","https://openalex.org/W6631216910","https://openalex.org/W6637231022","https://openalex.org/W6639103823","https://openalex.org/W6675747103","https://openalex.org/W6680012447","https://openalex.org/W6680922216","https://openalex.org/W6682991666","https://openalex.org/W6685380521","https://openalex.org/W6686207219","https://openalex.org/W6687780494","https://openalex.org/W6725836693"],"related_works":["https://openalex.org/W2232845837","https://openalex.org/W3032704158","https://openalex.org/W1992905164","https://openalex.org/W2807507746","https://openalex.org/W2953752256","https://openalex.org/W3036015371","https://openalex.org/W2964368963","https://openalex.org/W2998570830","https://openalex.org/W3118054267","https://openalex.org/W2606776255","https://openalex.org/W2943913916","https://openalex.org/W2762595523","https://openalex.org/W2913094719","https://openalex.org/W3200387849","https://openalex.org/W2884334719","https://openalex.org/W2210977594","https://openalex.org/W2978780922","https://openalex.org/W3040063571","https://openalex.org/W2608603161","https://openalex.org/W2777922598"],"abstract_inverted_index":{"Clustering":[0],"on":[1,103],"the":[2,31,39,44,54,57,61,75,85,108,112],"data":[3,65,69,79,115],"with":[4,30],"multiple":[5],"aspects,":[6],"such":[7],"as":[8],"multi-view":[9],"or":[10],"multi-type":[11],"relational":[12],"data,":[13,46],"has":[14,47],"become":[15],"popular":[16],"in":[17,56,118],"recent":[18],"years":[19],"due":[20],"to":[21,52,73],"their":[22],"wide":[23],"applicability.":[24],"The":[25],"approach":[26],"using":[27],"manifold":[28,77],"learning":[29],"Non-negative":[32],"Matrix":[33],"Factorization":[34],"(NMF)":[35],"framework,":[36,59],"that":[37,84,107],"learns":[38],"accurate":[40],"low-rank":[41],"representation":[42],"of":[43,64,67,92],"multi-dimensional":[45],"shown":[48],"effectiveness.":[49],"We":[50],"propose":[51],"include":[53],"inter-manifold":[55],"NMF":[58],"utilizing":[60],"distance":[62],"information":[63],"points":[66],"different":[68],"types":[70,95],"(or":[71],"views)":[72],"learn":[74],"diverse":[76],"for":[78],"clustering.":[80,101],"Empirical":[81],"analysis":[82],"reveals":[83],"proposed":[86,109],"method":[87,110],"can":[88],"find":[89],"partial":[90],"representations":[91],"various":[93],"interrelated":[94],"and":[96,121],"select":[97],"useful":[98],"features":[99],"during":[100],"Results":[102],"several":[104],"datasets":[105],"demonstrate":[106],"outperforms":[111],"state-of-the-art":[113],"multi-aspect":[114],"clustering":[116],"methods":[117],"both":[119],"accuracy":[120],"efficiency.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}