{"id":"https://openalex.org/W2921983725","doi":"https://doi.org/10.1007/s00521-019-04080-5","title":"Learning vector quantization and relevances in complex coefficient space","display_name":"Learning vector quantization and relevances in complex coefficient space","publication_year":2019,"publication_date":"2019-03-09","ids":{"openalex":"https://openalex.org/W2921983725","doi":"https://doi.org/10.1007/s00521-019-04080-5","mag":"2921983725"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-019-04080-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-019-04080-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-019-04080-5.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00521-019-04080-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024785793","display_name":"Michiel Straat","orcid":"https://orcid.org/0000-0002-3832-978X"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"M. Straat","raw_affiliation_strings":["University of Groningen, P.O. Box 407, 9700 AK, Groningen, The Netherlands","University of Groningen, Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Groningen, P.O. Box 407, 9700 AK, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"University of Groningen, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084823973","display_name":"Marika Kaden","orcid":"https://orcid.org/0000-0002-2849-3463"},"institutions":[{"id":"https://openalex.org/I116397343","display_name":"Hochschule Mittweida","ror":"https://ror.org/024ga3r86","country_code":"DE","type":"education","lineage":["https://openalex.org/I116397343"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Kaden","raw_affiliation_strings":["Computational Intelligence Group, University of Applied Sciences Mittweida, Technikumplatz 17, 09648, Mittweida, Germany","Computational Intelligence Group, University of Applied Sciences Mittweida, Mittweida, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Intelligence Group, University of Applied Sciences Mittweida, Technikumplatz 17, 09648, Mittweida, Germany","institution_ids":["https://openalex.org/I116397343"]},{"raw_affiliation_string":"Computational Intelligence Group, University of Applied Sciences Mittweida, Mittweida, Germany","institution_ids":["https://openalex.org/I116397343"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011555106","display_name":"Michel Gay","orcid":"https://orcid.org/0000-0003-1748-0955"},"institutions":[{"id":"https://openalex.org/I116397343","display_name":"Hochschule Mittweida","ror":"https://ror.org/024ga3r86","country_code":"DE","type":"education","lineage":["https://openalex.org/I116397343"]},{"id":"https://openalex.org/I4210111151","display_name":"Fraunhofer Institute for Transportation and Infrastructure Systems","ror":"https://ror.org/01nqmht92","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111151","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Gay","raw_affiliation_strings":["Computational Intelligence Group, University of Applied Sciences Mittweida, Technikumplatz 17, 09648, Mittweida, Germany","Fraunhofer Institute for Transportation and Infrastructure Systems IVI, Zeunerstrasse 38, 01069, Dresden, Germany","Fraunhofer Institute for Transportation and Infrastructure Systems IVI, Dresden, Germany","Computational Intelligence Group, University of Applied Sciences Mittweida, Mittweida, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Intelligence Group, University of Applied Sciences Mittweida, Technikumplatz 17, 09648, Mittweida, Germany","institution_ids":["https://openalex.org/I116397343"]},{"raw_affiliation_string":"Fraunhofer Institute for Transportation and Infrastructure Systems IVI, Zeunerstrasse 38, 01069, Dresden, Germany","institution_ids":["https://openalex.org/I4210111151"]},{"raw_affiliation_string":"Fraunhofer Institute for Transportation and Infrastructure Systems IVI, Dresden, Germany","institution_ids":["https://openalex.org/I4210111151"]},{"raw_affiliation_string":"Computational Intelligence Group, University of Applied Sciences Mittweida, Mittweida, Germany","institution_ids":["https://openalex.org/I116397343"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027248793","display_name":"Thomas Villmann","orcid":"https://orcid.org/0000-0001-6725-0141"},"institutions":[{"id":"https://openalex.org/I116397343","display_name":"Hochschule Mittweida","ror":"https://ror.org/024ga3r86","country_code":"DE","type":"education","lineage":["https://openalex.org/I116397343"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"T. Villmann","raw_affiliation_strings":["Computational Intelligence Group, University of Applied Sciences Mittweida, Technikumplatz 17, 09648, Mittweida, Germany","Computational Intelligence Group, University of Applied Sciences Mittweida, Mittweida, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Intelligence Group, University of Applied Sciences Mittweida, Technikumplatz 17, 09648, Mittweida, Germany","institution_ids":["https://openalex.org/I116397343"]},{"raw_affiliation_string":"Computational Intelligence Group, University of Applied Sciences Mittweida, Mittweida, Germany","institution_ids":["https://openalex.org/I116397343"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027731056","display_name":"A. Lampe","orcid":null},"institutions":[{"id":"https://openalex.org/I116397343","display_name":"Hochschule Mittweida","ror":"https://ror.org/024ga3r86","country_code":"DE","type":"education","lineage":["https://openalex.org/I116397343"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"A. Lampe","raw_affiliation_strings":["Computational Intelligence Group, University of Applied Sciences Mittweida, Technikumplatz 17, 09648, Mittweida, Germany","Computational Intelligence Group, University of Applied Sciences Mittweida, Mittweida, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Intelligence Group, University of Applied Sciences Mittweida, Technikumplatz 17, 09648, Mittweida, Germany","institution_ids":["https://openalex.org/I116397343"]},{"raw_affiliation_string":"Computational Intelligence Group, University of Applied Sciences Mittweida, Mittweida, Germany","institution_ids":["https://openalex.org/I116397343"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035286804","display_name":"Udo Seiffert","orcid":"https://orcid.org/0000-0002-6043-7947"},"institutions":[{"id":"https://openalex.org/I4210139350","display_name":"Fraunhofer Institute for Factory Operation and Automation","ror":"https://ror.org/04qfaak15","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210139350","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"U. Seiffert","raw_affiliation_strings":["Fraunhofer Institute for Factory Operation and Automation IFF, Sandtorstrasse 22, 39106, Magdeburg, Germany","Fraunhofer Institute for Factory Operation and Automation IFF, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Factory Operation and Automation IFF, Sandtorstrasse 22, 39106, Magdeburg, Germany","institution_ids":["https://openalex.org/I4210139350"]},{"raw_affiliation_string":"Fraunhofer Institute for Factory Operation and Automation IFF, Magdeburg, Germany","institution_ids":["https://openalex.org/I4210139350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083548477","display_name":"Michael Biehl","orcid":"https://orcid.org/0000-0001-5148-4568"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"M. Biehl","raw_affiliation_strings":["University of Groningen, P.O. Box 407, 9700 AK, Groningen, The Netherlands","University of Groningen, Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Groningen, P.O. Box 407, 9700 AK, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"University of Groningen, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079264070","display_name":"Friedrich Melchert","orcid":"https://orcid.org/0000-0002-9145-2277"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]},{"id":"https://openalex.org/I4210139350","display_name":"Fraunhofer Institute for Factory Operation and Automation","ror":"https://ror.org/04qfaak15","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210139350","https://openalex.org/I4923324"]}],"countries":["DE","NL"],"is_corresponding":true,"raw_author_name":"F. Melchert","raw_affiliation_strings":["Fraunhofer Institute for Factory Operation and Automation IFF, Sandtorstrasse 22, 39106, Magdeburg, Germany","University of Groningen, P.O. Box 407, 9700 AK, Groningen, The Netherlands","University of Groningen, Groningen, The Netherlands","Fraunhofer Institute for Factory Operation and Automation IFF, Magdeburg, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9145-2277","affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Factory Operation and Automation IFF, Sandtorstrasse 22, 39106, Magdeburg, Germany","institution_ids":["https://openalex.org/I4210139350"]},{"raw_affiliation_string":"University of Groningen, P.O. Box 407, 9700 AK, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"University of Groningen, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"Fraunhofer Institute for Factory Operation and Automation IFF, Magdeburg, Germany","institution_ids":["https://openalex.org/I4210139350"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5079264070"],"corresponding_institution_ids":["https://openalex.org/I169381384","https://openalex.org/I4210139350"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.0016,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.75498141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"32","issue":"24","first_page":"18085","last_page":"18099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9986000061035156,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9322999715805054,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9230999946594238,"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/learning-vector-quantization","display_name":"Learning vector quantization","score":0.8834878206253052},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.6439819931983948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5790426731109619},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5415037870407104},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5105844140052795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4945220649242401},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45961683988571167},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.43906939029693604},{"id":"https://openalex.org/keywords/function-space","display_name":"Function space","score":0.4295831322669983},{"id":"https://openalex.org/keywords/fourier-series","display_name":"Fourier series","score":0.42569172382354736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4255213141441345},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.42496258020401},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.4228942096233368},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4133462607860565},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.3828830122947693},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.15390336513519287},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.1460866630077362}],"concepts":[{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.8834878206253052},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6439819931983948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5790426731109619},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5415037870407104},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5105844140052795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4945220649242401},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45961683988571167},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.43906939029693604},{"id":"https://openalex.org/C142730499","wikidata":"https://www.wikidata.org/wiki/Q934367","display_name":"Function space","level":2,"score":0.4295831322669983},{"id":"https://openalex.org/C207864730","wikidata":"https://www.wikidata.org/wiki/Q179467","display_name":"Fourier series","level":2,"score":0.42569172382354736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4255213141441345},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.42496258020401},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.4228942096233368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4133462607860565},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.3828830122947693},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.15390336513519287},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.1460866630077362},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s00521-019-04080-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-019-04080-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-019-04080-5.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},{"id":"pmh:oai:pure.rug.nl:publications/03285345-94c5-4445-8637-d750b79874f0","is_oa":true,"landing_page_url":"https://research.rug.nl/en/publications/03285345-94c5-4445-8637-d750b79874f0","pdf_url":"https://pure.rug.nl/ws/files/77751572/Straat2019_Article_LearningVectorQuantizationAndR.pdf","source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Straat, M, Kaden, M, Gay, M, Villmann, T, Lampe, A, Seiffert, U, Biehl, M & Melchert, F 2020, 'Learning vector quantization and relevances in complex coefficient space', Neural Computing and Applications, vol. 32, no. 24, pp. 18085\u201318099. https://doi.org/10.1007/s00521-019-04080-5","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:fraunhofer.de:N-639923","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-639923.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"Fraunhofer IFF","raw_type":"Journal Article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/269694","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/269694","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.1007/s00521-019-04080-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-019-04080-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-019-04080-5.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2921983725.pdf","grobid_xml":"https://content.openalex.org/works/W2921983725.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W25311418","https://openalex.org/W1524521400","https://openalex.org/W1546509353","https://openalex.org/W1986295895","https://openalex.org/W2028873841","https://openalex.org/W2039434802","https://openalex.org/W2065234731","https://openalex.org/W2123749980","https://openalex.org/W2128052411","https://openalex.org/W2131436131","https://openalex.org/W2146245281","https://openalex.org/W2148788663","https://openalex.org/W2162693370","https://openalex.org/W2177031359","https://openalex.org/W2271397853","https://openalex.org/W2272817333","https://openalex.org/W2274386229","https://openalex.org/W2551393996","https://openalex.org/W2576617025","https://openalex.org/W2581918926","https://openalex.org/W2730878775","https://openalex.org/W2751137604","https://openalex.org/W3021971632","https://openalex.org/W4210701857","https://openalex.org/W4212774754","https://openalex.org/W4292156489"],"related_works":["https://openalex.org/W2100968651","https://openalex.org/W4243803532","https://openalex.org/W1530525041","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853","https://openalex.org/W2378212145","https://openalex.org/W2798892016","https://openalex.org/W2100492357","https://openalex.org/W2202992072"],"abstract_inverted_index":{"Abstract":[0],"In":[1,94],"this":[2],"contribution,":[3],"we":[4,66,96],"consider":[5,67,97],"the":[6,42,49,56,68,84,98,101],"classification":[7,85],"of":[8,29,51,58,70,75,86,91,100],"time":[9],"series":[10],"and":[11,22,72,83],"similar":[12],"functional":[13],"data":[14],"which":[15,34],"can":[16],"be":[17],"represented":[18],"in":[19,55,78,103],"complex":[20],"Fourier":[21,76],"wavelet":[23],"coefficient":[24],"space.":[25],"We":[26],"apply":[27],"versions":[28],"learning":[30],"vector":[31,82],"quantization":[32],"(LVQ)":[33],"are":[35],"suitable":[36],"for":[37,48],"complex-valued":[38],"data,":[39],"based":[40],"on":[41],"so-called":[43],"Wirtinger":[44],"calculus.":[45],"It":[46],"allows":[47],"formulation":[50],"gradient-based":[52],"update":[53],"rules":[54],"framework":[57],"cost-function-based":[59],"generalized":[60],"matrix":[61],"relevance":[62],"LVQ":[63],"(GMLVQ).":[64],"Alternatively,":[65],"concatenation":[69],"real":[71],"imaginary":[73],"parts":[74],"coefficients":[77],"a":[79],"real-valued":[80],"feature":[81],"time-domain":[87],"representations":[88],"by":[89],"means":[90],"conventional":[92],"GMLVQ.":[93],"addition,":[95],"application":[99],"method":[102],"combination":[104],"with":[105],"wavelet-space":[106],"features":[107],"to":[108],"heartbeat":[109],"classification.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}