{"id":"https://openalex.org/W3006658955","doi":"https://doi.org/10.1109/tcyb.2021.3049633","title":"Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond","display_name":"Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond","publication_year":2021,"publication_date":"2021-05-07","ids":{"openalex":"https://openalex.org/W3006658955","doi":"https://doi.org/10.1109/tcyb.2021.3049633","mag":"3006658955","pmid":"https://pubmed.ncbi.nlm.nih.gov/33961570"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2021.3049633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3049633","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1710.03113","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050270789","display_name":"Dong Huang","orcid":"https://orcid.org/0000-0003-3923-8828"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]},{"id":"https://openalex.org/I4210090512","display_name":"Guangzhou Experimental Station","ror":"https://ror.org/00f2c2516","country_code":"CN","type":"facility","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210090512","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Huang","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","Guangzhou Key Laboratory of Smart Agriculture, Guangzhou, China","Pazhou Lab, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3923-8828","affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"Guangzhou Key Laboratory of Smart Agriculture, Guangzhou, China","institution_ids":["https://openalex.org/I4210090512"]},{"raw_affiliation_string":"Pazhou Lab, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076335744","display_name":"Chang\u2010Dong Wang","orcid":"https://orcid.org/0000-0001-5972-559X"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-Dong Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","Guangdong Key Laboratory of Information Security Technology, Guangzhou, China","Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5972-559X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Information Security Technology, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034685928","display_name":"Jianhuang Lai","orcid":"https://orcid.org/0000-0003-3883-2024"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Huang Lai","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","Guangdong Key Laboratory of Information Security Technology, Guangzhou, China","Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3883-2024","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Information Security Technology, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112553040","display_name":"Chee-Keong Kwoh","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chee-Keong Kwoh","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.1684,"has_fulltext":false,"cited_by_count":83,"citation_normalized_percentile":{"value":0.9750692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"52","issue":"11","first_page":"12231","last_page":"12244"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9965999722480774,"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":0.9965999722480774,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9926999807357788,"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/T10057","display_name":"Face and Expression Recognition","score":0.9916999936103821,"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":0.7325693964958191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6388145685195923},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5888237953186035},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5561441779136658},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5546214580535889},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.5401697158813477},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5331121683120728},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.5284737348556519},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.44263648986816406},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.44011980295181274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43665021657943726},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4348606467247009},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43121153116226196},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.41857320070266724},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41653335094451904},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4155147969722748},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.2973164916038513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26593613624572754},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.20915794372558594}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7325693964958191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6388145685195923},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5888237953186035},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5561441779136658},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5546214580535889},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.5401697158813477},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5331121683120728},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.5284737348556519},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.44263648986816406},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.44011980295181274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43665021657943726},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4348606467247009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43121153116226196},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.41857320070266724},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41653335094451904},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4155147969722748},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.2973164916038513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26593613624572754},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.20915794372558594},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2021.3049633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3049633","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:33961570","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33961570","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 cybernetics","raw_type":null},{"id":"pmh:oai:arXiv.org:1710.03113","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.03113","pdf_url":"https://arxiv.org/pdf/1710.03113","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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1710.03113","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.03113","pdf_url":"https://arxiv.org/pdf/1710.03113","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":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5409299611","display_name":null,"funder_award_id":"61876193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5908615721","display_name":null,"funder_award_id":"61976097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7165179767","display_name":null,"funder_award_id":"61876104","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W113242008","https://openalex.org/W160698270","https://openalex.org/W191001584","https://openalex.org/W253433213","https://openalex.org/W1510147702","https://openalex.org/W1599173567","https://openalex.org/W1648123822","https://openalex.org/W1919721856","https://openalex.org/W1967761844","https://openalex.org/W1982885336","https://openalex.org/W1987219048","https://openalex.org/W1990063425","https://openalex.org/W2010975286","https://openalex.org/W2011430131","https://openalex.org/W2025549250","https://openalex.org/W2028899393","https://openalex.org/W2034662733","https://openalex.org/W2037984690","https://openalex.org/W2065675334","https://openalex.org/W2070232376","https://openalex.org/W2115346774","https://openalex.org/W2116984363","https://openalex.org/W2118522967","https://openalex.org/W2122644269","https://openalex.org/W2132914434","https://openalex.org/W2137813581","https://openalex.org/W2139280638","https://openalex.org/W2150856297","https://openalex.org/W2150969552","https://openalex.org/W2156283745","https://openalex.org/W2158854411","https://openalex.org/W2161669108","https://openalex.org/W2162833336","https://openalex.org/W2169446650","https://openalex.org/W2170584976","https://openalex.org/W2262682506","https://openalex.org/W2358862191","https://openalex.org/W2404760654","https://openalex.org/W2441628719","https://openalex.org/W2568618480","https://openalex.org/W2570942281","https://openalex.org/W2601026776","https://openalex.org/W2605427894","https://openalex.org/W2740329884","https://openalex.org/W2750102740","https://openalex.org/W2789712634","https://openalex.org/W2795165441","https://openalex.org/W2799747333","https://openalex.org/W2805867381","https://openalex.org/W2886355144","https://openalex.org/W2899431500","https://openalex.org/W2905804072","https://openalex.org/W2911942613","https://openalex.org/W2912580424","https://openalex.org/W2941129248","https://openalex.org/W2945288617","https://openalex.org/W2950244530","https://openalex.org/W2952171869","https://openalex.org/W2970612156","https://openalex.org/W2972643029","https://openalex.org/W2974300506","https://openalex.org/W3017320855","https://openalex.org/W3049248988","https://openalex.org/W3101747232","https://openalex.org/W3106090541","https://openalex.org/W3120740533","https://openalex.org/W3121769020","https://openalex.org/W3121976317","https://openalex.org/W4285719527","https://openalex.org/W4385270160","https://openalex.org/W6604586687","https://openalex.org/W6682734711","https://openalex.org/W6684050148","https://openalex.org/W6685191470","https://openalex.org/W6767391638"],"related_works":["https://openalex.org/W227974271","https://openalex.org/W2977728051","https://openalex.org/W2968737478","https://openalex.org/W2185081213","https://openalex.org/W88288160","https://openalex.org/W2761926807","https://openalex.org/W4294904396","https://openalex.org/W4309519232","https://openalex.org/W2588528840","https://openalex.org/W2271466582"],"abstract_inverted_index":{"The":[0,228],"rapid":[1],"emergence":[2],"of":[3,23,36,76,92,121,143,158,194,219,225],"high-dimensional":[4,203],"data":[5],"in":[6,28,56,65,88,97,178],"various":[7],"areas":[8],"has":[9,49],"brought":[10],"new":[11],"challenges":[12],"to":[13,52,69,82,138,172],"current":[14],"ensemble":[15,29,66,111,157,185],"clustering":[16,30,67,112,186],"research.":[17],"To":[18,101],"deal":[19],"with":[20,135],"the":[21,42,53,85,89,148,174,217,223,226],"curse":[22],"dimensionality,":[24],"recently":[25],"considerable":[26],"efforts":[27],"have":[31],"been":[32,50],"made":[33],"by":[34,124,190],"means":[35],"different":[37],"subspace-based":[38],"techniques.":[39],"However,":[40],"besides":[41],"emphasis":[43],"on":[44,147,181,201],"subspaces,":[45,94],"rather":[46],"limited":[47],"attention":[48],"paid":[51],"potential":[54],"diversity":[55,87,177],"similarity/dissimilarity":[57],"metrics.":[58],"It":[59],"remains":[60],"a":[61,73,98,108,118,126,140],"surprisingly":[62],"open":[63],"problem":[64],"how":[68,81],"create":[70,117],"and":[71,79,95,211],"aggregate":[72],"large":[74,90,119,141],"population":[75],"diversified":[77,122,159],"metrics,":[78,93],"furthermore,":[80],"jointly":[83],"investigate":[84],"multilevel":[86],"populations":[91],"clusters":[96],"unified":[99],"framework.":[100],"tackle":[102],"this":[103,105],"problem,":[104],"article":[106],"proposes":[107],"novel":[109],"multidiversified":[110],"approach.":[113],"In":[114],"particular,":[115],"we":[116],"number":[120],"metrics":[123],"randomizing":[125],"scaled":[127],"exponential":[128],"similarity":[129,149],"kernel,":[130],"which":[131,182,215],"are":[132,188,199],"then":[133],"coupled":[134],"random":[136],"subspaces":[137],"form":[139],"set":[142],"metric-subspace":[144,154],"pairs.":[145],"Based":[146],"matrices":[150],"derived":[151],"from":[152],"these":[153],"pairs,":[155],"an":[156,167],"base":[160],"clusterings":[161],"can":[162],"be":[163],"thereby":[164],"constructed.":[165],"Furthermore,":[166],"entropy-based":[168],"criterion":[169],"is":[170,231],"utilized":[171],"explore":[173],"cluster":[175],"wise":[176],"ensembles,":[179],"based":[180],"three":[183,192],"specific":[184],"algorithms":[187,221],"presented":[189],"incorporating":[191],"types":[193],"consensus":[195],"functions.":[196],"Extensive":[197],"experiments":[198],"conducted":[200],"30":[202],"datasets,":[204,214],"including":[205],"18":[206],"cancer":[207],"gene":[208],"expression":[209],"datasets":[210],"12":[212],"image/speech":[213],"demonstrate":[216],"superiority":[218],"our":[220],"over":[222],"state":[224],"art.":[227],"source":[229],"code":[230],"available":[232],"at":[233],"https://github.com/huangdonghere/MDEC.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
