{"id":"https://openalex.org/W2019084556","doi":"https://doi.org/10.1007/s11634-012-0113-3","title":"Clustering of functional data in a low-dimensional subspace","display_name":"Clustering of functional data in a low-dimensional subspace","publication_year":2012,"publication_date":"2012-08-16","ids":{"openalex":"https://openalex.org/W2019084556","doi":"https://doi.org/10.1007/s11634-012-0113-3","mag":"2019084556"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-012-0113-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-012-0113-3","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-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/A5065970343","display_name":"Michio Yamamoto","orcid":"https://orcid.org/0000-0003-1272-7090"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Michio Yamamoto","raw_affiliation_strings":["Division of Mathematical Science, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama-cho, Toyonaka, Osaka, 560-8531, Japan","Division of Mathematical Science, Graduate School of Engineering Science, Osaka University, Toyonaka, Japan 560-8531#TAB#"],"affiliations":[{"raw_affiliation_string":"Division of Mathematical Science, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama-cho, Toyonaka, Osaka, 560-8531, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Division of Mathematical Science, Graduate School of Engineering Science, Osaka University, Toyonaka, Japan 560-8531#TAB#","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5065970343"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":3.5658,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.92761246,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":"3","first_page":"219","last_page":"247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.998199999332428,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.998199999332428,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9883999824523926,"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/T10885","display_name":"Gene expression and cancer classification","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.822364866733551},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8073168992996216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.613244891166687},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.5121583938598633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49119874835014343},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4365861415863037},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42070186138153076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38964566588401794},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3544468283653259}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.822364866733551},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8073168992996216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.613244891166687},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.5121583938598633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49119874835014343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4365861415863037},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42070186138153076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38964566588401794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3544468283653259}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11634-012-0113-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-012-0113-3","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:advdac:v:6:y:2012:i:3:p:219-247","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s11634-012-0113-3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337380","display_name":"Division of Mathematical Sciences","ror":"https://ror.org/051fftw81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W153630915","https://openalex.org/W206706296","https://openalex.org/W333764539","https://openalex.org/W649907824","https://openalex.org/W1510063698","https://openalex.org/W1538147245","https://openalex.org/W1554067589","https://openalex.org/W1975152892","https://openalex.org/W1982792229","https://openalex.org/W1987019005","https://openalex.org/W1990369652","https://openalex.org/W1994280764","https://openalex.org/W1995496685","https://openalex.org/W1998569590","https://openalex.org/W2029220640","https://openalex.org/W2040669081","https://openalex.org/W2046241882","https://openalex.org/W2058140676","https://openalex.org/W2065540158","https://openalex.org/W2071306594","https://openalex.org/W2071389326","https://openalex.org/W2077702199","https://openalex.org/W2085919530","https://openalex.org/W2119360572","https://openalex.org/W2119758179","https://openalex.org/W2143060555","https://openalex.org/W2146766088","https://openalex.org/W2150097763","https://openalex.org/W2150593711","https://openalex.org/W2212737779","https://openalex.org/W2797463641","https://openalex.org/W2896307091","https://openalex.org/W2913066018","https://openalex.org/W3137136951","https://openalex.org/W4235169531","https://openalex.org/W4255469293","https://openalex.org/W4292156489","https://openalex.org/W4298876635"],"related_works":["https://openalex.org/W4385270139","https://openalex.org/W3080491161","https://openalex.org/W2111119584","https://openalex.org/W3186815950","https://openalex.org/W2590034888","https://openalex.org/W4292621762","https://openalex.org/W3098102082","https://openalex.org/W2140439590","https://openalex.org/W2120152091","https://openalex.org/W2110877857"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
