{"id":"https://openalex.org/W4406850583","doi":"https://doi.org/10.1142/s0218488525500047","title":"ICE: Incremental Subspace Clustering of High-Dimensional Categorical Data","display_name":"ICE: Incremental Subspace Clustering of High-Dimensional Categorical Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406850583","doi":"https://doi.org/10.1142/s0218488525500047"},"language":"en","primary_location":{"id":"doi:10.1142/s0218488525500047","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488525500047","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","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/A5010416807","display_name":"Ning Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Pang","raw_affiliation_strings":["College of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, Shanxi, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-9920-1782","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, Shanxi, P. R. China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101769882","display_name":"Chaowei Zhang","orcid":"https://orcid.org/0000-0001-5051-5318"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaowei Zhang","raw_affiliation_strings":["Department of Computer Science, Yangzhou University, Yangzhou, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yangzhou University, Yangzhou, P. R. China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046188958","display_name":"Jifu Zhang","orcid":"https://orcid.org/0000-0002-0396-8901"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jifu Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, Shanxi, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-0396-8901","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, Shanxi, P. R. China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042766429","display_name":"Xiao Qin","orcid":"https://orcid.org/0000-0002-8345-3587"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Qin","raw_affiliation_strings":["Department of Science and Software Engineering, Auburn University, Auburn, AL 36849-5347, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Science and Software Engineering, Auburn University, Auburn, AL 36849-5347, USA","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.792,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8964988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"33","issue":"01","first_page":"87","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9937999844551086,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9909999966621399,"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/categorical-variable","display_name":"Categorical variable","score":0.7678444385528564},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6208735108375549},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5108858942985535},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4420563876628876},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42559871077537537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3887709975242615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31585055589675903},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30383169651031494},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23521286249160767}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7678444385528564},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6208735108375549},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5108858942985535},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4420563876628876},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42559871077537537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3887709975242615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31585055589675903},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30383169651031494},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23521286249160767}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218488525500047","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488525500047","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4149505703","display_name":null,"funder_award_id":"61876122","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":32,"referenced_works":["https://openalex.org/W1488818260","https://openalex.org/W1879447438","https://openalex.org/W1989216855","https://openalex.org/W2005934890","https://openalex.org/W2086687760","https://openalex.org/W2086829791","https://openalex.org/W2125070513","https://openalex.org/W2262682506","https://openalex.org/W2276652386","https://openalex.org/W2473552888","https://openalex.org/W2567650686","https://openalex.org/W2601172051","https://openalex.org/W2736773830","https://openalex.org/W2743926534","https://openalex.org/W2773837076","https://openalex.org/W2797380400","https://openalex.org/W2798264189","https://openalex.org/W2900198456","https://openalex.org/W2901205723","https://openalex.org/W2911984381","https://openalex.org/W2914761779","https://openalex.org/W2918013683","https://openalex.org/W2951897416","https://openalex.org/W2961839652","https://openalex.org/W2963165461","https://openalex.org/W2966296698","https://openalex.org/W2980305541","https://openalex.org/W3002120312","https://openalex.org/W3020056445","https://openalex.org/W3040063571","https://openalex.org/W3118831001","https://openalex.org/W3120391290"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W4386799044","https://openalex.org/W2773208253","https://openalex.org/W2560646951","https://openalex.org/W4297454206","https://openalex.org/W65104662","https://openalex.org/W1871748041","https://openalex.org/W2362286668","https://openalex.org/W2133382151","https://openalex.org/W2364594919"],"abstract_inverted_index":{"Subspace":[0],"clustering":[1,17,24,88,94,104,118],"is":[2,130],"an":[3,68],"effective":[4,48],"way":[5],"to":[6,40,52,112,132],"analyze":[7],"high-dimensional":[8],"data.":[9],"The":[10,151],"main":[11],"problems":[12,66],"of":[13,47,55,58],"the":[14,53,56,64,97,122],"conventional":[15,23],"subspace":[16,77],"techniques":[18,38],"are":[19],"as":[20],"follows:":[21],"first,":[22],"methods":[25],"can":[26,159],"not":[27],"describe":[28],"categorical":[29],"attribute":[30,76],"space":[31],"in":[32,116],"more":[33],"detail;":[34],"second,":[35],"most":[36],"subspace-clustering":[37,60,70,157],"failure":[39],"process":[41],"dynamic":[42,113],"data":[43],"effectively;":[44],"finally,":[45],"lack":[46],"noise":[49,127,135],"recognition":[50,128],"leads":[51],"decline":[54],"efficiency":[57],"incremental":[59,69,93,117,156],"analysis.":[61],"We":[62,143],"address":[63],"above":[65],"by":[67,79],"algorithm":[71],"\u2014":[72],"called":[73],"ICE.":[74],"With":[75],"constructed":[78],"a":[80,125],"rough":[81],"set-based":[82],"weight":[83],"computing":[84],"method,":[85],"ICE":[86,145],"obtains":[87],"results":[89,100,153],"through":[90],"initial":[91,103],"and":[92,109,148,166],"stage.":[95,119],"Utilizing":[96],"original":[98],"cluster":[99],"generated":[101],"from":[102,136],"stage,":[105],"we":[106],"adopt":[107],"merging":[108],"splitting":[110],"operation":[111],"adjust":[114],"cluster-structure":[115],"Before":[120],"achieving":[121],"final":[123],"results,":[124],"polymerization-based":[126],"technique":[129],"employed":[131],"automatically":[133],"identify":[134],"sparse":[137],"clusters":[138],"without":[139],"human":[140],"threshold":[141],"intervention.":[142],"implement":[144],"on":[146,163],"synthetic":[147],"real-world":[149],"datasets.":[150],"experimental":[152],"reveal":[154],"that":[155],"method":[158],"achieves":[160],"satisfactory":[161],"performance":[162],"extensibility,":[164],"accuracy":[165],"robustness.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
