{"id":"https://openalex.org/W3201410301","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533650","title":"Organization Component Analysis: The method for extracting insights from the shape of cluster","display_name":"Organization Component Analysis: The method for extracting insights from the shape of cluster","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201410301","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533650","mag":"3201410301"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2117/353526","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046574682","display_name":"Kaveh Mahdavi","orcid":null},"institutions":[{"id":"https://openalex.org/I2799803557","display_name":"Barcelona Supercomputing Center","ror":"https://ror.org/05sd8tv96","country_code":"ES","type":"facility","lineage":["https://openalex.org/I2799803557","https://openalex.org/I9617848"]},{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Kaveh Mahdavi","raw_affiliation_strings":["Computer Architecture Universitat Polit&#x00E8;cnica de Catalunya Barcelona Supercomputing Center,Barcelona,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Architecture Universitat Polit&#x00E8;cnica de Catalunya Barcelona Supercomputing Center,Barcelona,Spain","institution_ids":["https://openalex.org/I2799803557","https://openalex.org/I9617848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078951695","display_name":"Jesus Labarta Mancho","orcid":null},"institutions":[{"id":"https://openalex.org/I2799803557","display_name":"Barcelona Supercomputing Center","ror":"https://ror.org/05sd8tv96","country_code":"ES","type":"facility","lineage":["https://openalex.org/I2799803557","https://openalex.org/I9617848"]},{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jesus Labarta Mancho","raw_affiliation_strings":["Computer Architecture Universitat Polit&#x00E8;cnica de Catalunya Barcelona Supercomputing Center,Barcelona,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Architecture Universitat Polit&#x00E8;cnica de Catalunya Barcelona Supercomputing Center,Barcelona,Spain","institution_ids":["https://openalex.org/I2799803557","https://openalex.org/I9617848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016041609","display_name":"Judit Gimenez Lucas","orcid":null},"institutions":[{"id":"https://openalex.org/I2799803557","display_name":"Barcelona Supercomputing Center","ror":"https://ror.org/05sd8tv96","country_code":"ES","type":"facility","lineage":["https://openalex.org/I2799803557","https://openalex.org/I9617848"]},{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Judit Gimenez Lucas","raw_affiliation_strings":["Computer Architecture Universitat Polit&#x00E8;cnica de Catalunya Barcelona Supercomputing Center,Barcelona,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Architecture Universitat Polit&#x00E8;cnica de Catalunya Barcelona Supercomputing Center,Barcelona,Spain","institution_ids":["https://openalex.org/I2799803557","https://openalex.org/I9617848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9758999943733215,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9645000100135803,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6875004768371582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6765551567077637},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5598635077476501},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5578572750091553},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5342615842819214},{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.5125479698181152},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42512503266334534},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.41361939907073975},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.41239356994628906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38164258003234863},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3621217608451843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33321648836135864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1973220705986023}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6875004768371582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765551567077637},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5598635077476501},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5578572750091553},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5342615842819214},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.5125479698181152},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42512503266334534},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.41361939907073975},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.41239356994628906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38164258003234863},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3621217608451843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33321648836135864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1973220705986023},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:upcommons.upc.edu:2117/353526","is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/353526","pdf_url":"http://hdl.handle.net/2117/353526","source":{"id":"https://openalex.org/S4377196262","display_name":"UPCommons institutional repository (Universitat Polit\u00e8cnica de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9617848","host_organization_name":"Universitat Polit\u00e8cnica de Catalunya","host_organization_lineage":["https://openalex.org/I9617848"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference report"}],"best_oa_location":{"id":"pmh:oai:upcommons.upc.edu:2117/353526","is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/353526","pdf_url":"http://hdl.handle.net/2117/353526","source":{"id":"https://openalex.org/S4377196262","display_name":"UPCommons institutional repository (Universitat Polit\u00e8cnica de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9617848","host_organization_name":"Universitat Polit\u00e8cnica de Catalunya","host_organization_lineage":["https://openalex.org/I9617848"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference report"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3201410301.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W839407891","https://openalex.org/W1485973507","https://openalex.org/W1564583583","https://openalex.org/W1594924988","https://openalex.org/W1607787316","https://openalex.org/W1987111416","https://openalex.org/W1989757660","https://openalex.org/W2104339857","https://openalex.org/W2105269163","https://openalex.org/W2120636621","https://openalex.org/W2120922587","https://openalex.org/W2132626343","https://openalex.org/W2154187696","https://openalex.org/W2158363765","https://openalex.org/W2253971223","https://openalex.org/W2295124130","https://openalex.org/W2398336627","https://openalex.org/W2491828719","https://openalex.org/W2574358302","https://openalex.org/W2779640815","https://openalex.org/W2799449427","https://openalex.org/W2913760405","https://openalex.org/W2986181204","https://openalex.org/W3090419440","https://openalex.org/W3090538509","https://openalex.org/W3183452638","https://openalex.org/W6633864139","https://openalex.org/W6635538498","https://openalex.org/W6636338475","https://openalex.org/W6678007500","https://openalex.org/W6691613355","https://openalex.org/W6712440748","https://openalex.org/W6732235260","https://openalex.org/W6758787945","https://openalex.org/W6784343614","https://openalex.org/W6798651032"],"related_works":["https://openalex.org/W1978591761","https://openalex.org/W4287661821","https://openalex.org/W3133864228","https://openalex.org/W2941285539","https://openalex.org/W4206698794","https://openalex.org/W3089249579","https://openalex.org/W4286749417","https://openalex.org/W3126955880","https://openalex.org/W1982132340","https://openalex.org/W1161134833"],"abstract_inverted_index":{"Clustering":[0],"analysis":[1],"is":[2,27,190],"widely":[3],"used":[4],"to":[5,17,63,80,118,148,165,182,186,192,226],"stratify":[6],"data":[7,52,69,105,115,243],"in":[8,208,233],"the":[9,48,82,93,96,104,120,128,131,151,167,179,184,188,218,238],"same":[10],"cluster":[11,34,116,126,154],"when":[12],"they":[13],"are":[14,245],"similar":[15],"according":[16],"specific":[18],"metrics.":[19],"The":[20],"process":[21],"of":[22,41,50,95,113,124,130,153,172,210,213,220,231,241],"understanding":[23],"and":[24,74,155,248],"interpreting":[25],"clusters":[26],"mostly":[28],"intuitive.":[29],"However,":[30],"we":[31,57,138,160,199],"observe":[32],"each":[33,234],"has":[35],"unique":[36],"shape":[37,152],"that":[38],"comes":[39],"out":[40],"metrics":[42],"on":[43,175],"data,":[44,205,232],"which":[45,187,244],"can":[46,200],"represent":[47,139],"organization":[49,122,146,214,239],"categorized":[51,68,242],"mathematically.":[53],"In":[54],"this":[55],"paper,":[56],"apply":[58],"novel":[59],"topological":[60],"based":[61],"method":[62,91,108,222],"study":[64,100],"potentially":[65],"complex":[66],"high-dimensional":[67],"by":[70,127,223,253],"quantifying":[71],"their":[72,156],"shapes":[73],"extracting":[75],"fine-grain":[76],"insights":[77],"about":[78,103],"them":[79],"interpret":[81],"clustering":[83],"result.":[84],"We":[85,144,216],"introduce":[86,145],"our":[87,221],"Organization":[88],"Component":[89],"Analysis":[90],"for":[92],"purpose":[94],"automatic":[97],"arbitrary":[98],"cluster-shape":[99],"without":[101],"assumption":[102],"distribution.":[106],"Our":[107],"explores":[109],"a":[110,114,125,193,197],"topology-preserving":[111],"map":[112,133,141],"manifold":[117],"extract":[119],"main":[121],"structure":[123,240],"leveraging":[129],"self-organization":[132,140],"technique.":[134],"To":[135],"do":[136],"this,":[137],"as":[142],"graph.":[143],"components":[147],"geometrically":[149],"describe":[150,201],"endogenous":[157],"phenomena.":[158],"Specifically,":[159],"propose":[161],"an":[162],"innovative":[163],"way":[164],"measure":[166],"alignment":[168],"between":[169],"two":[170,227],"sequences":[171],"momentum":[173],"changes":[174],"geodesic":[176],"path":[177],"over":[178],"embedded":[180],"graph":[181],"quantify":[183],"extent":[185],"feature":[189],"related":[191],"given":[194],"component.":[195],"As":[196],"result,":[198],"variability":[202],"among":[203],"stratified":[204],"correlated":[206],"features":[207],"terms":[209],"lower":[211],"number":[212],"components.":[215],"illustrate":[217],"utilization":[219],"applying":[224],"it":[225],"quite":[228],"different":[229],"types":[230],"case":[235],"mathematically":[236],"detecting":[237],"much":[246],"profounder":[247],"finer":[249],"than":[250],"those":[251],"produced":[252],"standard":[254],"methods.":[255]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
