{"id":"https://openalex.org/W2782842765","doi":"https://doi.org/10.1109/bigdata.2017.8258157","title":"Principal coordinate clustering","display_name":"Principal coordinate clustering","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2782842765","doi":"https://doi.org/10.1109/bigdata.2017.8258157","mag":"2782842765"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8258157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11511/55133","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038282519","display_name":"Ali Sekmen","orcid":"https://orcid.org/0000-0002-5342-0418"},"institutions":[{"id":"https://openalex.org/I75256744","display_name":"Tennessee State University","ror":"https://ror.org/01fpczx89","country_code":"US","type":"education","lineage":["https://openalex.org/I75256744"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ali Sekmen","raw_affiliation_strings":["Department of Computer Science, Tennessee State University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tennessee State University","institution_ids":["https://openalex.org/I75256744"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003347271","display_name":"Akram Aldroubi","orcid":"https://orcid.org/0000-0002-3066-8357"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akram Aldroubi","raw_affiliation_strings":["Department of Mathematics, Vanderbilt University"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Vanderbilt University","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065067533","display_name":"Ahmet Bu\u011fra Koku","orcid":"https://orcid.org/0000-0002-4783-1317"},"institutions":[{"id":"https://openalex.org/I75256744","display_name":"Tennessee State University","ror":"https://ror.org/01fpczx89","country_code":"US","type":"education","lineage":["https://openalex.org/I75256744"]},{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR","US"],"is_corresponding":false,"raw_author_name":"Ahmet Bugra Koku","raw_affiliation_strings":["Department of Computer Science, Tennessee State University","Department of Mechanical Engineering, Middle East Technical University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tennessee State University","institution_ids":["https://openalex.org/I75256744"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Middle East Technical University","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064380948","display_name":"Keaton Hamm","orcid":"https://orcid.org/0000-0003-0719-6045"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keaton Hamm","raw_affiliation_strings":["Department of Mathematics, Vanderbilt University"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Vanderbilt University","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038282519"],"corresponding_institution_ids":["https://openalex.org/I75256744"],"apc_list":null,"apc_paid":null,"fwci":0.1733,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5253815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2095","last_page":"2101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.955299973487854,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9505000114440918,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8766334056854248},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6993809342384338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5543844699859619},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.514651894569397},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.454444020986557},{"id":"https://openalex.org/keywords/principal","display_name":"Principal (computer security)","score":0.41868436336517334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40789827704429626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36687636375427246},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34909293055534363}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8766334056854248},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6993809342384338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5543844699859619},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.514651894569397},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.454444020986557},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.41868436336517334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40789827704429626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36687636375427246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34909293055534363},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2017.8258157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/55133","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/55133","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:open.metu.edu.tr:11511/55133","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/55133","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W126373973","https://openalex.org/W1990613490","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2052311585","https://openalex.org/W2056639756","https://openalex.org/W2114554887","https://openalex.org/W2118154608","https://openalex.org/W2132914434","https://openalex.org/W2752230697","https://openalex.org/W3106502057","https://openalex.org/W4250657332","https://openalex.org/W4285719527","https://openalex.org/W6603183647","https://openalex.org/W6605099723"],"related_works":["https://openalex.org/W1482912984","https://openalex.org/W4385270139","https://openalex.org/W3080491161","https://openalex.org/W3186815950","https://openalex.org/W2111119584","https://openalex.org/W2590034888","https://openalex.org/W4292621762","https://openalex.org/W2589483699","https://openalex.org/W3098102082","https://openalex.org/W2110877857"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,13,21,47,52,67,76,87],"clustering":[4,44,60,84],"algorithm,":[5],"called":[6],"principal":[7,39,58],"coordinate":[8,59],"clustering.":[9],"It":[10,50],"takes":[11],"in":[12],"similarity":[14],"matrix":[15,23],"S":[16,32],"<sub":[17,33],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[18,34],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">W</sub>":[19,35],"of":[20,31,54,70],"data":[22,113],"W":[24],"and":[25,65,111,126],"computes":[26],"the":[27,38,43,94,115,128,131],"singular":[28],"value":[29],"decomposition":[30],"to":[36,41,46,63,133,137],"determine":[37],"coordinates":[40],"convert":[42],"problem":[45],"simpler":[48],"domain.":[49],"is":[51,61],"relative":[53],"spectral":[55,83,124],"clustering,":[56,125],"however,":[57],"easier":[62],"interpret,":[64],"gives":[66,79],"clear":[68],"understanding":[69],"why":[71,82],"it":[72,104],"performs":[73,118],"well.":[74],"In":[75],"fashion,":[77],"this":[78],"intuition":[80],"behind":[81],"works":[85],"from":[86],"more":[88],"simple,":[89],"linear":[90],"algebra":[91],"perspective,":[92],"beyond":[93],"typical":[95],"explanations":[96],"via":[97],"graph":[98],"cuts,":[99],"or":[100],"other":[101],"techniques.":[102],"Moreover,":[103],"was":[105],"demonstrated":[106],"through":[107],"experimentation":[108],"on":[109,121],"real":[110],"synthetic":[112],"that":[114,127],"proposed":[116],"method":[117,129],"equally":[119],"well":[120],"average":[122],"as":[123],"has":[130],"ability":[132],"scale":[134],"quite":[135],"easily":[136],"truly":[138],"large":[139],"data.":[140]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}