{"id":"https://openalex.org/W2982442545","doi":"https://doi.org/10.1109/smap.2019.8864898","title":"Tensor Clustering: A Review","display_name":"Tensor Clustering: A Review","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2982442545","doi":"https://doi.org/10.1109/smap.2019.8864898","mag":"2982442545"},"language":"en","primary_location":{"id":"doi:10.1109/smap.2019.8864898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smap.2019.8864898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 14th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","raw_type":"proceedings-article"},"type":"review","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/A5044250636","display_name":"\u0393\u03b5\u03ce\u03c1\u03b3\u03b9\u03bf\u03c2 \u0394\u03c1\u03b1\u03ba\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf\u03c2","orcid":"https://orcid.org/0000-0002-0975-1877"},"institutions":[{"id":"https://openalex.org/I187792471","display_name":"Ionian University","ror":"https://ror.org/01xm4n520","country_code":"GR","type":"education","lineage":["https://openalex.org/I187792471"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Drakopoulos","raw_affiliation_strings":["Department of Informatics, Ionian University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Ionian University","institution_ids":["https://openalex.org/I187792471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101514799","display_name":"Evaggelos Spyrou","orcid":"https://orcid.org/0000-0003-2067-9949"},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Evaggelos Spyrou","raw_affiliation_strings":["NCSR, \u201cDemokritos\u201d","NCSR, \"Demokritos\""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NCSR, \u201cDemokritos\u201d","institution_ids":["https://openalex.org/I203474044"]},{"raw_affiliation_string":"NCSR, \"Demokritos\"","institution_ids":["https://openalex.org/I203474044"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061448936","display_name":"Phivos Mylonas","orcid":"https://orcid.org/0000-0002-6916-3129"},"institutions":[{"id":"https://openalex.org/I187792471","display_name":"Ionian University","ror":"https://ror.org/01xm4n520","country_code":"GR","type":"education","lineage":["https://openalex.org/I187792471"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Phivos Mylonas","raw_affiliation_strings":["Department of Informatics, Ionian University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Ionian University","institution_ids":["https://openalex.org/I187792471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.09926471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9865000247955322,"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/T11269","display_name":"Algorithms and Data Compression","score":0.954200029373169,"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/tensor","display_name":"Tensor (intrinsic definition)","score":0.7152062654495239},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6730630397796631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6631955504417419},{"id":"https://openalex.org/keywords/toolbox","display_name":"Toolbox","score":0.6250128746032715},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5451769232749939},{"id":"https://openalex.org/keywords/tensor-algebra","display_name":"Tensor algebra","score":0.5336511731147766},{"id":"https://openalex.org/keywords/linear-algebra","display_name":"Linear algebra","score":0.529839038848877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4746739864349365},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45341429114341736},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.42429667711257935},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4206802546977997},{"id":"https://openalex.org/keywords/conceptual-clustering","display_name":"Conceptual clustering","score":0.4188336431980133},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40180402994155884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3726842403411865},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.35437634587287903},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34844571352005005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2505580484867096},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.1821596920490265},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.17703670263290405},{"id":"https://openalex.org/keywords/algebra-representation","display_name":"Algebra representation","score":0.09521570801734924},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0902288556098938}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7152062654495239},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6730630397796631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6631955504417419},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.6250128746032715},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5451769232749939},{"id":"https://openalex.org/C1680195","wikidata":"https://www.wikidata.org/wiki/Q2296021","display_name":"Tensor algebra","level":5,"score":0.5336511731147766},{"id":"https://openalex.org/C139352143","wikidata":"https://www.wikidata.org/wiki/Q82571","display_name":"Linear algebra","level":2,"score":0.529839038848877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4746739864349365},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45341429114341736},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.42429667711257935},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4206802546977997},{"id":"https://openalex.org/C39235581","wikidata":"https://www.wikidata.org/wiki/Q5158434","display_name":"Conceptual clustering","level":5,"score":0.4188336431980133},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40180402994155884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3726842403411865},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.35437634587287903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34844571352005005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2505580484867096},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.1821596920490265},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.17703670263290405},{"id":"https://openalex.org/C14394260","wikidata":"https://www.wikidata.org/wiki/Q4723980","display_name":"Algebra representation","level":3,"score":0.09521570801734924},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0902288556098938},{"id":"https://openalex.org/C100376341","wikidata":"https://www.wikidata.org/wiki/Q649977","display_name":"Jordan algebra","level":4,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smap.2019.8864898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smap.2019.8864898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 14th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1614522028","https://openalex.org/W1678280646","https://openalex.org/W1966764836","https://openalex.org/W1971274817","https://openalex.org/W1978376511","https://openalex.org/W1981288815","https://openalex.org/W1981718598","https://openalex.org/W1981787866","https://openalex.org/W2004406940","https://openalex.org/W2008812312","https://openalex.org/W2024165284","https://openalex.org/W2024182011","https://openalex.org/W2025861721","https://openalex.org/W2031005205","https://openalex.org/W2033560557","https://openalex.org/W2041552578","https://openalex.org/W2041657594","https://openalex.org/W2050838977","https://openalex.org/W2052569240","https://openalex.org/W2058711793","https://openalex.org/W2072509929","https://openalex.org/W2079231426","https://openalex.org/W2080693452","https://openalex.org/W2089637519","https://openalex.org/W2095168618","https://openalex.org/W2097867741","https://openalex.org/W2102950139","https://openalex.org/W2104982138","https://openalex.org/W2108138101","https://openalex.org/W2108597378","https://openalex.org/W2113583211","https://openalex.org/W2123528936","https://openalex.org/W2123583562","https://openalex.org/W2125414102","https://openalex.org/W2125593342","https://openalex.org/W2130183999","https://openalex.org/W2130852547","https://openalex.org/W2136065080","https://openalex.org/W2152284345","https://openalex.org/W2154624311","https://openalex.org/W2163753106","https://openalex.org/W2168092484","https://openalex.org/W2246859513","https://openalex.org/W2471100147","https://openalex.org/W2538660910","https://openalex.org/W2539554769","https://openalex.org/W2564533995","https://openalex.org/W2593392256","https://openalex.org/W2739003666","https://openalex.org/W2740469464","https://openalex.org/W2766374335","https://openalex.org/W2792856582","https://openalex.org/W2807953812","https://openalex.org/W2904503978","https://openalex.org/W2917336158","https://openalex.org/W2962696370","https://openalex.org/W3031413962","https://openalex.org/W3104563092","https://openalex.org/W3105629767","https://openalex.org/W3121395605","https://openalex.org/W4256300017","https://openalex.org/W4298149265","https://openalex.org/W6674549668","https://openalex.org/W6734420995","https://openalex.org/W6778487424"],"related_works":["https://openalex.org/W4205140848","https://openalex.org/W2068663075","https://openalex.org/W2978678743","https://openalex.org/W2797837731","https://openalex.org/W4393677513","https://openalex.org/W4390832911","https://openalex.org/W829257147","https://openalex.org/W3169240678","https://openalex.org/W4381050447","https://openalex.org/W2982442545"],"abstract_inverted_index":{"Tensor":[0,125],"algebra":[1,9],"is":[2,36],"the":[3,38,75,100],"next":[4],"evolutionary":[5],"step":[6],"of":[7,17],"linear":[8],"to":[10],"more":[11],"than":[12],"two":[13],"dimensions.":[14],"Its":[15],"plethora":[16],"applications":[18],"include":[19],"signal":[20],"processing,":[21],"big":[22],"data,":[23],"deep":[24,111],"learning,":[25],"multivariate":[26],"numerical":[27],"analysis,":[28],"information":[29],"retrieval,":[30],"and":[31,44,92,124],"social":[32],"media":[33],"analysis.":[34],"As":[35],"precisely":[37],"case":[39],"with":[40,46],"data":[41],"matrices,":[42],"decompositions":[43],"factorizations":[45],"special":[47],"properties":[48],"reveal":[49],"inherent":[50],"but":[51],"latent":[52],"patterns":[53,72],"which":[54,114],"are":[55,127],"not":[56],"immediately":[57],"discernible.":[58],"Alternatively,":[59],"for":[60,77],"large":[61],"tensors":[62,117],"direct":[63],"clustering":[64,103],"can":[65,73],"yield":[66],"similar":[67],"patterns.":[68],"Once":[69],"identified,":[70],"said":[71],"pave":[74],"way":[76],"other":[78],"operations":[79],"commonly":[80],"found":[81],"in":[82],"a":[83],"knowledge":[84],"mining":[85],"pipeline":[86],"such":[87,118],"as":[88,105,107,119],"compression,":[89],"outlier":[90],"discovery,":[91],"higher":[93],"order":[94],"statistics.":[95],"This":[96],"survey":[97],"concisely":[98],"presents":[99],"key":[101],"tensor":[102],"techniques":[104],"well":[106],"their":[108],"applications.":[109],"Additionally,":[110],"learning":[112],"frameworks":[113],"natively":[115],"support":[116],"TensorFlow,":[120],"Breeze,":[121],"Spark":[122],"MLlib,":[123],"Toolbox":[126],"presented.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
