{"id":"https://openalex.org/W2479740620","doi":"https://doi.org/10.1007/978-3-319-39384-1_11","title":"Similarities, Dissimilarities and Types of Inner Products for Data Analysis in the Context of Machine Learning","display_name":"Similarities, Dissimilarities and Types of Inner Products for Data Analysis in the Context of Machine Learning","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2479740620","doi":"https://doi.org/10.1007/978-3-319-39384-1_11","mag":"2479740620"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-39384-1_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-39384-1_11","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/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":true,"raw_author_name":"Thomas Villmann","raw_affiliation_strings":["Computational Intelligence Group, University of Applied Sciences Mittweida, Mittweida, Germany"],"affiliations":[{"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/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":"Marika Kaden","raw_affiliation_strings":["Computational Intelligence Group, University of Applied Sciences Mittweida, Mittweida, Germany"],"affiliations":[{"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/A5088903370","display_name":"David Nebel","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":"David Nebel","raw_affiliation_strings":["Computational Intelligence Group, University of Applied Sciences Mittweida, Mittweida, Germany"],"affiliations":[{"raw_affiliation_string":"Computational Intelligence Group, University of Applied Sciences Mittweida, Mittweida, Germany","institution_ids":["https://openalex.org/I116397343"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011974811","display_name":"Andrea Bohnsack","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrea Bohnsack","raw_affiliation_strings":["Staatliche Berufliche Oberschule Kaufbeuren, Kaufbeuren, Germany"],"affiliations":[{"raw_affiliation_string":"Staatliche Berufliche Oberschule Kaufbeuren, Kaufbeuren, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027248793"],"corresponding_institution_ids":["https://openalex.org/I116397343"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.6773,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6673614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9937999844551086,"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":0.9937999844551086,"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/T10057","display_name":"Face and Expression Recognition","score":0.9811999797821045,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9659000039100647,"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/computer-science","display_name":"Computer science","score":0.785855233669281},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6708288192749023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6558883190155029},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5900146961212158},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5750108361244202},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.560910165309906},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5253167152404785},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.44193336367607117},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07368037104606628}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785855233669281},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6708288192749023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6558883190155029},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5900146961212158},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5750108361244202},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.560910165309906},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5253167152404785},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.44193336367607117},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07368037104606628},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-39384-1_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-39384-1_11","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W995630646","https://openalex.org/W1480708938","https://openalex.org/W1647729745","https://openalex.org/W1979872939","https://openalex.org/W2031136493","https://openalex.org/W2036256527","https://openalex.org/W2037080954","https://openalex.org/W2037955148","https://openalex.org/W2053241748","https://openalex.org/W2059975159","https://openalex.org/W2067002097","https://openalex.org/W2084134149","https://openalex.org/W2087714668","https://openalex.org/W2089419199","https://openalex.org/W2095755765","https://openalex.org/W2109993655","https://openalex.org/W2125085449","https://openalex.org/W2132055400","https://openalex.org/W2132278990","https://openalex.org/W2134145060","https://openalex.org/W2134146049","https://openalex.org/W2150070703","https://openalex.org/W2165232124","https://openalex.org/W2296349981","https://openalex.org/W3017143921","https://openalex.org/W3123606858","https://openalex.org/W4206140093","https://openalex.org/W4249190976","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2140798747","https://openalex.org/W2948169060","https://openalex.org/W2730112582","https://openalex.org/W2110696645","https://openalex.org/W2375480909","https://openalex.org/W2358580169","https://openalex.org/W2353314428","https://openalex.org/W2111347279","https://openalex.org/W2487211728","https://openalex.org/W2378096925"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
