{"id":"https://openalex.org/W1575412803","doi":"https://doi.org/10.1007/978-3-540-78246-9_11","title":"Identification of Noisy Variables for Nonmetric and Symbolic Data in Cluster Analysis","display_name":"Identification of Noisy Variables for Nonmetric and Symbolic Data in Cluster Analysis","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W1575412803","doi":"https://doi.org/10.1007/978-3-540-78246-9_11","mag":"1575412803"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-78246-9_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-78246-9_11","pdf_url":null,"source":{"id":"https://openalex.org/S4210194094","display_name":"Studies in classification, data analysis, and knowledge organization","issn_l":"1431-8814","issn":["1431-8814","2198-3321"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Classification, Data Analysis, and Knowledge Organization","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/A5014332897","display_name":"Marek Walesiak","orcid":"https://orcid.org/0000-0003-0922-2323"},"institutions":[{"id":"https://openalex.org/I305801656","display_name":"Wroclaw University of Economics and Business","ror":"https://ror.org/013sm1c65","country_code":"PL","type":"education","lineage":["https://openalex.org/I305801656"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Marek Walesiak","raw_affiliation_strings":["Department of Econometrics and Computer Science, Wroclaw University of Economics, Nowowiejska 3, 58-500, Jelenia Gora, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Econometrics and Computer Science, Wroclaw University of Economics, Nowowiejska 3, 58-500, Jelenia Gora, Poland","institution_ids":["https://openalex.org/I305801656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035512779","display_name":"Andrzej Dudek","orcid":"https://orcid.org/0000-0002-4943-8703"},"institutions":[{"id":"https://openalex.org/I305801656","display_name":"Wroclaw University of Economics and Business","ror":"https://ror.org/013sm1c65","country_code":"PL","type":"education","lineage":["https://openalex.org/I305801656"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Andrzej Dudek","raw_affiliation_strings":["Department of Econometrics and Computer Science, Wroclaw University of Economics, Nowowiejska 3, 58-500, Jelenia Gora, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Econometrics and Computer Science, Wroclaw University of Economics, Nowowiejska 3, 58-500, Jelenia Gora, Poland","institution_ids":["https://openalex.org/I305801656"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014332897"],"corresponding_institution_ids":["https://openalex.org/I305801656"],"apc_list":null,"apc_paid":null,"fwci":3.2764,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90270619,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.97079998254776,"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/T10320","display_name":"Neural Networks and Applications","score":0.9650999903678894,"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/identification","display_name":"Identification (biology)","score":0.7808314561843872},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.540723979473114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5401630997657776},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4816285967826843},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4690217077732086},{"id":"https://openalex.org/keywords/symbolic-data-analysis","display_name":"Symbolic data analysis","score":0.4538480341434479},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38072431087493896},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34905868768692017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3434843420982361},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28983041644096375},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21103456616401672},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0495067834854126},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.043521493673324585}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7808314561843872},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.540723979473114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5401630997657776},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4816285967826843},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4690217077732086},{"id":"https://openalex.org/C65620979","wikidata":"https://www.wikidata.org/wiki/Q7661176","display_name":"Symbolic data analysis","level":2,"score":0.4538480341434479},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38072431087493896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34905868768692017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3434843420982361},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28983041644096375},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21103456616401672},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0495067834854126},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.043521493673324585},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-540-78246-9_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-78246-9_11","pdf_url":null,"source":{"id":"https://openalex.org/S4210194094","display_name":"Studies in classification, data analysis, and knowledge organization","issn_l":"1431-8814","issn":["1431-8814","2198-3321"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Classification, Data Analysis, and Knowledge Organization","raw_type":"book-chapter"},{"id":"pmh:3a2412a2-872f-44f2-98c4-c87d71e5ef3c/oai:depot.ceon.pl:123456789/1049","is_oa":false,"landing_page_url":"http://depot.ceon.pl/handle/123456789/1049","pdf_url":null,"source":{"id":"https://openalex.org/S4306401248","display_name":"Jagiellonian University Repository (Jagiellonian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126596746","host_organization_name":"Jagiellonian University","host_organization_lineage":["https://openalex.org/I126596746"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W108378147","https://openalex.org/W1482555119","https://openalex.org/W1549152550","https://openalex.org/W2005539036","https://openalex.org/W2023059455","https://openalex.org/W2070150264","https://openalex.org/W2071949631","https://openalex.org/W2325183536","https://openalex.org/W2505879829","https://openalex.org/W4235169531","https://openalex.org/W4235500030","https://openalex.org/W4239702360"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2094012830","https://openalex.org/W187246281","https://openalex.org/W2921201112"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}