{"id":"https://openalex.org/W4406457883","doi":"https://doi.org/10.1109/bigdata62323.2024.10825637","title":"Clustering MBTI Personalities With Graph Filters And Self Organizing Maps Over Pinecone","display_name":"Clustering MBTI Personalities With Graph Filters And Self Organizing Maps Over Pinecone","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406457883","doi":"https://doi.org/10.1109/bigdata62323.2024.10825637"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-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/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":true,"raw_author_name":"Georgios Drakopoulos","raw_affiliation_strings":["Ionian University,Department of Informatics"],"affiliations":[{"raw_affiliation_string":"Ionian University,Department of Informatics","institution_ids":["https://openalex.org/I187792471"]}]},{"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/I4210094138","display_name":"University of West Attica","ror":"https://ror.org/00r2r5k05","country_code":"GR","type":"education","lineage":["https://openalex.org/I4210094138"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Phivos Mylonas","raw_affiliation_strings":["University of West Attica,ICE Department"],"affiliations":[{"raw_affiliation_string":"University of West Attica,ICE Department","institution_ids":["https://openalex.org/I4210094138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044250636"],"corresponding_institution_ids":["https://openalex.org/I187792471"],"apc_list":null,"apc_paid":null,"fwci":2.155,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89795841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5674","last_page":"5681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.964900016784668,"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/T10320","display_name":"Neural Networks and Applications","score":0.964900016784668,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9340999722480774,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9046000242233276,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7851815223693848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5883716344833374},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4741456210613251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33204764127731323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3221803903579712},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11642560362815857}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7851815223693848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5883716344833374},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4741456210613251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33204764127731323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3221803903579712},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11642560362815857}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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":37,"referenced_works":["https://openalex.org/W1615813862","https://openalex.org/W2050781898","https://openalex.org/W2125938200","https://openalex.org/W2149731110","https://openalex.org/W2407652639","https://openalex.org/W2471100147","https://openalex.org/W2898221662","https://openalex.org/W2911317544","https://openalex.org/W2921133574","https://openalex.org/W2940973835","https://openalex.org/W2950171514","https://openalex.org/W2954548939","https://openalex.org/W2959546144","https://openalex.org/W2963317713","https://openalex.org/W2963873807","https://openalex.org/W2967729586","https://openalex.org/W2968287640","https://openalex.org/W2972047812","https://openalex.org/W2972803199","https://openalex.org/W2981989409","https://openalex.org/W2998346965","https://openalex.org/W3086027411","https://openalex.org/W3101653779","https://openalex.org/W3102723379","https://openalex.org/W3186777277","https://openalex.org/W3199043857","https://openalex.org/W4206222751","https://openalex.org/W4245417057","https://openalex.org/W4281381223","https://openalex.org/W4318147461","https://openalex.org/W4390692039","https://openalex.org/W4390938782","https://openalex.org/W4393310131","https://openalex.org/W4394966934","https://openalex.org/W4402510265","https://openalex.org/W6765524274","https://openalex.org/W6798557631"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Self":[0],"organizing":[1],"maps":[2,6],"(SOMs)":[3],"or":[4],"cognitive":[5],"are":[7,71],"designed":[8],"to":[9,22,47],"preserve":[10],"major":[11],"topological":[12,167],"attributes":[13],"of":[14,62,88,102,118,140,166],"manifolds":[15],"in":[16,26,49,164,182],"a":[17,27,115,138,154,184],"higher":[18,97],"dimensionality":[19],"data":[20,45,67,104],"space":[21,46,68],"corresponding":[23],"projections":[24],"thereof":[25],"low":[28],"dimensional":[29],"coordinate":[30,51],"space.":[31,52,105],"This":[32,106],"is":[33,125],"performed":[34],"by":[35,73],"mapping":[36],"neighborhoods":[37],"and":[38,174],"the":[39,44,50,59,79,96,103,108,133],"distances":[40],"contained":[41],"therein":[42],"from":[43,82,93,128,144],"ones":[48],"Thus,":[53],"SOM":[54],"functionality":[55],"relies":[56],"heavily":[57],"on":[58,132,153],"geometrical":[60],"properties":[61],"both":[63],"spaces.":[64],"Topologically":[65],"flexible":[66],"distance":[69,90],"metrics":[70,91],"constructed":[72],"combining":[74],"tensors":[75],"with":[76,158,161,188],"graph":[77,83,149],"filters,":[78],"latter":[80],"coming":[81],"signal":[84],"processing.":[85],"The":[86],"power":[87],"these":[89],"comes":[92],"naturally":[94],"expressing":[95],"order":[98],"relationships":[99],"between":[100],"points":[101,179],"paves":[107],"way":[109],"for":[110],"addressing":[111],"engineering":[112],"scenarios":[113],"involving":[114],"large":[116],"number":[117],"densely":[119],"interrelated":[120],"attributes.":[121],"One":[122],"such":[123],"case":[124],"discerning":[126],"personalities":[127,142],"textual":[129],"information":[130],"based":[131],"Myers-Briggs":[134],"taxonomy":[135],"indicator":[136],"(MBTI),":[137],"framework":[139],"archetypal":[141],"derived":[143],"Jungian":[145],"psychodynamic":[146],"theory.":[147],"Various":[148],"filters":[150],"were":[151,180],"tested":[152],"benchmark":[155],"Kaggle":[156],"dataset":[157],"ground":[159],"truth":[160],"comparisons":[162],"assessed":[163],"terms":[165],"error,":[168],"cluster":[169,175],"purity,":[170],"average":[171],"inter-cluster":[172],"distance,":[173],"curvature":[176],"variability.":[177],"Data":[178],"stored":[181],"Pinecone,":[183],"recent":[185],"vector":[186],"database,":[187],"Python":[189],"integration.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}
