{"id":"https://openalex.org/W2554328239","doi":"https://doi.org/10.3233/fi-2016-1387","title":"Recut: A Seriation Algorithm Balancing Smooth Display and Aggregated Features","display_name":"Recut: A Seriation Algorithm Balancing Smooth Display and Aggregated Features","publication_year":2016,"publication_date":"2016-09-30","ids":{"openalex":"https://openalex.org/W2554328239","doi":"https://doi.org/10.3233/fi-2016-1387","mag":"2554328239"},"language":"en","primary_location":{"id":"doi:10.3233/fi-2016-1387","is_oa":false,"landing_page_url":"https://doi.org/10.3233/fi-2016-1387","pdf_url":null,"source":{"id":"https://openalex.org/S39012697","display_name":"Fundamenta Informaticae","issn_l":"0169-2968","issn":["0169-2968","1875-8681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fundamenta Informaticae","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/A5113298633","display_name":"Ji Qi","orcid":"https://orcid.org/0009-0005-9708-6027"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ji Qi","raw_affiliation_strings":["Department of Systems Innovation, School of Engineering, The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo, Tokyo, Japan","Department of Systems Innovation, School of Engineering, The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo, Tokyo, Japan. 3225347132@mail.ecc.u-tokyo.ac.jp"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Innovation, School of Engineering, The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Department of Systems Innovation, School of Engineering, The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo, Tokyo, Japan. 3225347132@mail.ecc.u-tokyo.ac.jp","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060604714","display_name":"Yukio Ohsawa","orcid":"https://orcid.org/0000-0003-2943-2547"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukio Ohsawa","raw_affiliation_strings":["Department of Systems Innovation, School of Engineering, The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo, Tokyo, Japan","Department of Systems Innovation, School of Engineering, The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo, Tokyo, Japan. ohsawa@sys.t.u-tokyo.ac.jp"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Innovation, School of Engineering, The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Department of Systems Innovation, School of Engineering, The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo, Tokyo, Japan. ohsawa@sys.t.u-tokyo.ac.jp","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113298633"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08219744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"146","issue":"3","first_page":"293","last_page":"304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9945999979972839,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9945999979972839,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9929999709129333,"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/T11106","display_name":"Data Management and Algorithms","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/seriation","display_name":"Seriation (archaeology)","score":0.7484152913093567},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.7264747023582458},{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.69878751039505},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6206251978874207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6085599660873413},{"id":"https://openalex.org/keywords/row-and-column-spaces","display_name":"Row and column spaces","score":0.6066538691520691},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5275558829307556},{"id":"https://openalex.org/keywords/permutation-matrix","display_name":"Permutation matrix","score":0.5258957743644714},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.5218316912651062},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4326595366001129},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37021785974502563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33159559965133667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23400810360908508},{"id":"https://openalex.org/keywords/circulant-matrix","display_name":"Circulant matrix","score":0.14989960193634033}],"concepts":[{"id":"https://openalex.org/C103303479","wikidata":"https://www.wikidata.org/wiki/Q358095","display_name":"Seriation (archaeology)","level":2,"score":0.7484152913093567},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.7264747023582458},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.69878751039505},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6206251978874207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6085599660873413},{"id":"https://openalex.org/C104140500","wikidata":"https://www.wikidata.org/wiki/Q2088159","display_name":"Row and column spaces","level":3,"score":0.6066538691520691},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5275558829307556},{"id":"https://openalex.org/C84140500","wikidata":"https://www.wikidata.org/wiki/Q851512","display_name":"Permutation matrix","level":3,"score":0.5258957743644714},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.5218316912651062},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4326595366001129},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37021785974502563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33159559965133667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23400810360908508},{"id":"https://openalex.org/C115973184","wikidata":"https://www.wikidata.org/wiki/Q245457","display_name":"Circulant matrix","level":2,"score":0.14989960193634033},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/fi-2016-1387","is_oa":false,"landing_page_url":"https://doi.org/10.3233/fi-2016-1387","pdf_url":null,"source":{"id":"https://openalex.org/S39012697","display_name":"Fundamenta Informaticae","issn_l":"0169-2968","issn":["0169-2968","1875-8681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fundamenta Informaticae","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1511813406","https://openalex.org/W1547820416","https://openalex.org/W1600165106","https://openalex.org/W2001619934","https://openalex.org/W2037394096","https://openalex.org/W2042199077","https://openalex.org/W2069840066","https://openalex.org/W2072778443","https://openalex.org/W2103938550","https://openalex.org/W2119430004","https://openalex.org/W2132040456","https://openalex.org/W2133120537","https://openalex.org/W2151889136","https://openalex.org/W2153077944","https://openalex.org/W2167573667","https://openalex.org/W2170590171"],"related_works":["https://openalex.org/W2313440505","https://openalex.org/W3123744736","https://openalex.org/W2137691148","https://openalex.org/W1505848319","https://openalex.org/W4281399881","https://openalex.org/W2905020035","https://openalex.org/W3166006430","https://openalex.org/W4281971614","https://openalex.org/W1974627484","https://openalex.org/W2019569581"],"abstract_inverted_index":{"Previous":[0],"seriation":[1,83],"algorithms":[2],"are":[3,19],"confronted":[4],"with":[5,13,21,111],"a":[6,82],"balance":[7,151],"problem.":[8,152],"Some":[9,49],"approaches":[10,51],"provide":[11,141],"permutations":[12],"perfect":[14],"wholeness,":[15],"where":[16],"matrix":[17,75,99],"rows/columns":[18],"associated":[20],"increasing":[22],"or":[23],"decreasing":[24],"gradient.":[25],"However,":[26],"this":[27,62,78],"smooth":[28],"permutation":[29,93,102,147],"may":[30],"lead":[31],"to":[32],"the":[33,37,67,74,89,92,95,98,115,119,125,150],"blurred":[34],"representation":[35],"of":[36,69,73,91,97],"data":[38],"structure,":[39],"such":[40],"as":[41],"clustering":[42],"structures":[43,46,54],"and":[44,94,105,114,135,144],"detailed":[45],"inside":[47],"clusters.":[48],"other":[50],"indicate":[52],"these":[53],"well":[55],"by":[56,123,148],"tighter":[57],"aggregating":[58],"similar":[59],"rows/columns,":[60],"but":[61],"aggregation":[63],"is":[64],"alway":[65],"at":[66,87],"cost":[68],"losing":[70],"necessary":[71],"coherence":[72],"rows/columns.":[76],"In":[77],"paper,":[79],"we":[80],"introduce":[81],"algorithm":[84,103,117],"that":[85,138],"aims":[86],"balancing":[88],"smoothness":[90],"clarity":[96],"structure.":[100],"The":[101],"greedily":[104],"recursively":[106],"replaces":[107],"high-dissimilar":[108],"object":[109],"pairs":[110],"low-dissimilar":[112],"ones,":[113],"optimization":[116],"searches":[118],"global":[120],"optimizing":[121],"solution":[122],"applying":[124],"simulated":[126],"annealing":[127],"algorithm.":[128],"A":[129],"comparison":[130],"study":[131],"shows":[132],"both":[133],"empirical":[134],"statistical":[136],"evidence":[137],"Recut":[139],"can":[140],"more":[142],"accurate":[143],"visually":[145],"appropriate":[146],"considering":[149]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}