{"id":"https://openalex.org/W7128730375","doi":"https://doi.org/10.37614/2949-1215.2025.16.3.003","title":"ANALYTICAL REVIEW OF CLUSTERING METHODS IN SUBSPACES","display_name":"ANALYTICAL REVIEW OF CLUSTERING METHODS IN SUBSPACES","publication_year":2025,"publication_date":"2025-12-25","ids":{"openalex":"https://openalex.org/W7128730375","doi":"https://doi.org/10.37614/2949-1215.2025.16.3.003"},"language":"en","primary_location":{"id":"doi:10.37614/2949-1215.2025.16.3.003","doi":"https://doi.org/10.37614/2949-1215.2025.16.3.003","is_oa":true,"landing_page_url":"https://doi.org/10.37614/2949-1215.2025.16.3.003","pdf_url":"https://doi.org/10.37614/2949-1215.2025.16.3.003","source":{"id":"https://openalex.org/S4210191682","display_name":"Transaction Kola Science Centre","issn_l":"2307-5252","issn":["2307-5252"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transaction Kola Science Centre","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.37614/2949-1215.2025.16.3.003","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032406992","display_name":"\u041e\u043b\u044c\u0433\u0430 \u041d\u0438\u043a\u043e\u043b\u0430\u0435\u0432\u043d\u0430 \u0417\u0443\u0435\u043d\u043a\u043e","orcid":"https://orcid.org/0000-0001-5431-7538","observed_orcids":["https://orcid.org/0000-0001-5431-7538"]},"institutions":[{"id":"https://openalex.org/I4210163243","display_name":"Kola Science Centre","ror":"https://ror.org/056wf8856","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210160366","https://openalex.org/I4210163243","https://openalex.org/I4210163714"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Olga N. Zuenko","raw_affiliation_strings":["Putilov Institute for Informatics and Mathematical Modeling of the Kola Science Centre of the Russian Academy of Sciences"],"raw_orcid":"https://orcid.org/0000-0001-5431-7538","affiliations":[{"raw_affiliation_string":"Putilov Institute for Informatics and Mathematical Modeling of the Kola Science Centre of the Russian Academy of Sciences","institution_ids":["https://openalex.org/I4210163243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015347078","display_name":"\u0424\u0440\u0438\u0434\u043c\u0430\u043d \u041e\u043b\u044c\u0433\u0430 \u0412\u043b\u0430\u0434\u0438\u043c\u0438\u0440\u043e\u0432\u043d\u0430","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210163243","display_name":"Kola Science Centre","ror":"https://ror.org/056wf8856","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210160366","https://openalex.org/I4210163243","https://openalex.org/I4210163714"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Olga V. Fridman","raw_affiliation_strings":["Putilov Institute for Informatics and Mathematical Modeling of the Kola Science Centre of the Russian Academy of Sciences"],"raw_orcid":"https://orcid.org/0000-0003-1897-4922","affiliations":[{"raw_affiliation_string":"Putilov Institute for Informatics and Mathematical Modeling of the Kola Science Centre of the Russian Academy of Sciences","institution_ids":["https://openalex.org/I4210163243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210163243"],"apc_list":null,"apc_paid":null,"fwci":0.2487,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50424563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":"3","first_page":"35","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":1.0,"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":1.0,"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":0.0,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/subspace-clustering","display_name":"subspace clustering","score":0.9990000128746033},{"id":"https://openalex.org/keywords/high-dimensional-data","display_name":"high-dimensional data","score":0.9890000224113464},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.8669999837875366},{"id":"https://openalex.org/keywords/feature-projection","display_name":"feature projection","score":0.6779999732971191},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.9240000247955322},{"id":"https://openalex.org/keywords/noisy-data","display_name":"noisy data","score":0.9950000047683716},{"id":"https://openalex.org/keywords/user-constraints","display_name":"user constraints","score":0.9369999766349792},{"id":"https://openalex.org/keywords/clustering-algorithms","display_name":"clustering algorithms","score":0.48899999260902405}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8422999978065491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6832000017166138},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6205999851226807},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.558899998664856},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5453000068664551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5351999998092651},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5157999992370605},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5037000179290771},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.482699990272522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4765999913215637},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45660001039505005},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.43549999594688416},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.420199990272522},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3813000023365021},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.3774000108242035},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.37400001287460327},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.36570000648498535},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.32350000739097595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3077000081539154},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.3050000071525574},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.29260000586509705},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.2808000147342682},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.2685999870300293},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C39235581","wikidata":"https://www.wikidata.org/wiki/Q5158434","display_name":"Conceptual clustering","level":5,"score":0.25459998846054077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.37614/2949-1215.2025.16.3.003","doi":"https://doi.org/10.37614/2949-1215.2025.16.3.003","is_oa":true,"landing_page_url":"https://doi.org/10.37614/2949-1215.2025.16.3.003","pdf_url":"https://doi.org/10.37614/2949-1215.2025.16.3.003","source":{"id":"https://openalex.org/S4210191682","display_name":"Transaction Kola Science Centre","issn_l":"2307-5252","issn":["2307-5252"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transaction Kola Science Centre","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.37614/2949-1215.2025.16.3.003","doi":"https://doi.org/10.37614/2949-1215.2025.16.3.003","is_oa":true,"landing_page_url":"https://doi.org/10.37614/2949-1215.2025.16.3.003","pdf_url":"https://doi.org/10.37614/2949-1215.2025.16.3.003","source":{"id":"https://openalex.org/S4210191682","display_name":"Transaction Kola Science Centre","issn_l":"2307-5252","issn":["2307-5252"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transaction Kola Science Centre","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7128730375.pdf","grobid_xml":"https://content.openalex.org/works/W7128730375.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W38206254","https://openalex.org/W1493454437","https://openalex.org/W1515984610","https://openalex.org/W1562753845","https://openalex.org/W1563099561","https://openalex.org/W1569024462","https://openalex.org/W1585646276","https://openalex.org/W1721137721","https://openalex.org/W1852814444","https://openalex.org/W1880693368","https://openalex.org/W1972132022","https://openalex.org/W1977496278","https://openalex.org/W1983524036","https://openalex.org/W1987111416","https://openalex.org/W1995433152","https://openalex.org/W2006533296","https://openalex.org/W2009380894","https://openalex.org/W2042035594","https://openalex.org/W2072343647","https://openalex.org/W2072974396","https://openalex.org/W2079361215","https://openalex.org/W2080816440","https://openalex.org/W2096100960","https://openalex.org/W2098135039","https://openalex.org/W2099404336","https://openalex.org/W2101741219","https://openalex.org/W2104128006","https://openalex.org/W2130566945","https://openalex.org/W2135964318","https://openalex.org/W2149373142","https://openalex.org/W2167091752","https://openalex.org/W2885378786","https://openalex.org/W3129160290","https://openalex.org/W3150565720","https://openalex.org/W4236529070","https://openalex.org/W4244268470","https://openalex.org/W4250689175","https://openalex.org/W4252403066","https://openalex.org/W4254311734"],"related_works":["https://openalex.org/W2006533296","https://openalex.org/W7097341968","https://openalex.org/W7099266657","https://openalex.org/W4409431902","https://openalex.org/W227974271","https://openalex.org/W2213199723","https://openalex.org/W6912774635","https://openalex.org/W2106766422","https://openalex.org/W3163753946","https://openalex.org/W7098665881"],"abstract_inverted_index":{"The":[0,26,84,119],"article":[1],"provides":[2],"an":[3],"analytical":[4],"overview":[5],"of":[6,21,55,66,87,107,115],"subspace":[7],"clustering":[8,82,89],"methods":[9,27,94,121],"that":[10],"allow":[11],"to":[12,31,79,104,111],"process":[13,90],"high-dimensional":[14],"data":[15,127],"characterized":[16],"by":[17],"a":[18],"large":[19],"number":[20],"features":[22,56],"and":[23,34,97,133,138],"their":[24,58],"values.":[25],"provide":[28],"the":[29,42,52,64,67,74,77,81,88,92,105,113,116],"ability":[30,75],"analyze":[32],"missing":[33],"noisy":[35],"data.":[36],"Clustering":[37],"is":[38,102],"performed":[39],"not":[40],"in":[41,47,99,125],"full":[43],"feature":[44,68],"space,":[45],"but":[46],"its":[48],"projections,":[49],"without":[50],"replacing":[51],"original":[53],"set":[54],"with":[57],"linear":[59],"combinations.":[60],"This":[61],"allows":[62],"reducing":[63],"dimensionality":[65],"space":[69],"under":[70],"consideration":[71],"while":[72],"maintaining":[73],"for":[76],"user":[78,109],"interpret":[80],"results.":[83],"main":[85],"stages":[86],"within":[91],"considered":[93],"are":[95,122],"highlighted":[96],"described":[98],"detail.":[100],"Attention":[101],"paid":[103],"use":[106],"additional":[108],"constraints":[110],"improve":[112],"accuracy":[114],"resulting":[117],"partitions.":[118],"analyzed":[120],"widely":[123],"used":[124],"various":[126],"mining":[128],"problems,":[129],"such":[130],"as":[131],"image":[132],"video":[134],"recognition,":[135],"text":[136],"processing,":[137],"genome":[139],"research.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-02-13T00:00:00"}
