{"id":"https://openalex.org/W2398555982","doi":"https://doi.org/10.1007/s11634-016-0255-9","title":"Principal component analysis for histogram-valued data","display_name":"Principal component analysis for histogram-valued data","publication_year":2016,"publication_date":"2016-05-26","ids":{"openalex":"https://openalex.org/W2398555982","doi":"https://doi.org/10.1007/s11634-016-0255-9","mag":"2398555982"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-016-0255-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-016-0255-9","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/A5077959964","display_name":"Jennifer Le\u2010Rademacher","orcid":"https://orcid.org/0000-0002-2234-7430"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Le-Rademacher","raw_affiliation_strings":["Mayo Clinic, Rochester, MN, 55905, USA"],"affiliations":[{"raw_affiliation_string":"Mayo Clinic, Rochester, MN, 55905, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076881624","display_name":"Lynne Billard","orcid":"https://orcid.org/0000-0002-6724-7126"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"L. Billard","raw_affiliation_strings":["University of Georgia, Athens, GA, 30602, USA"],"affiliations":[{"raw_affiliation_string":"University of Georgia, Athens, GA, 30602, USA","institution_ids":["https://openalex.org/I165733156"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076881624"],"corresponding_institution_ids":["https://openalex.org/I165733156"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.9856,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.80129797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":"2","first_page":"327","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9456999897956848,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.9258999824523926,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8600084781646729},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.8348665237426758},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5714333653450012},{"id":"https://openalex.org/keywords/symbolic-data-analysis","display_name":"Symbolic data analysis","score":0.530507504940033},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5127695202827454},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45923835039138794},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4423849880695343},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43161576986312866},{"id":"https://openalex.org/keywords/sparse-pca","display_name":"Sparse PCA","score":0.43068790435791016},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4278159439563751},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4206909239292145},{"id":"https://openalex.org/keywords/polytope","display_name":"Polytope","score":0.4179091155529022},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4031243622303009},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3991646468639374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3844834864139557},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3717721104621887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35809898376464844},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2374657392501831},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14653998613357544},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08758658170700073},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07406255602836609}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8600084781646729},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8348665237426758},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5714333653450012},{"id":"https://openalex.org/C65620979","wikidata":"https://www.wikidata.org/wiki/Q7661176","display_name":"Symbolic data analysis","level":2,"score":0.530507504940033},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5127695202827454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45923835039138794},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4423849880695343},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43161576986312866},{"id":"https://openalex.org/C24252448","wikidata":"https://www.wikidata.org/wiki/Q7573786","display_name":"Sparse PCA","level":3,"score":0.43068790435791016},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4278159439563751},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4206909239292145},{"id":"https://openalex.org/C145691206","wikidata":"https://www.wikidata.org/wiki/Q747980","display_name":"Polytope","level":2,"score":0.4179091155529022},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4031243622303009},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3991646468639374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3844834864139557},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3717721104621887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35809898376464844},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2374657392501831},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14653998613357544},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08758658170700073},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07406255602836609},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11634-016-0255-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-016-0255-9","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:11:y:2017:i:2:d:10.1007_s11634-016-0255-9","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11634-016-0255-9","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":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W62504723","https://openalex.org/W158759942","https://openalex.org/W647236485","https://openalex.org/W1482555119","https://openalex.org/W1506893161","https://openalex.org/W1549853718","https://openalex.org/W1614215352","https://openalex.org/W1710664071","https://openalex.org/W1990989764","https://openalex.org/W2038190934","https://openalex.org/W2038318937","https://openalex.org/W2063698478","https://openalex.org/W2066623035","https://openalex.org/W2072242542","https://openalex.org/W2081525541","https://openalex.org/W2082269894","https://openalex.org/W2086505712","https://openalex.org/W2093506327","https://openalex.org/W2095182114","https://openalex.org/W2104312053","https://openalex.org/W2112440119","https://openalex.org/W2140912267","https://openalex.org/W2165918462","https://openalex.org/W2272305822","https://openalex.org/W2403545364","https://openalex.org/W2496323672","https://openalex.org/W2912565176","https://openalex.org/W3099514962","https://openalex.org/W4211007335","https://openalex.org/W4230727635","https://openalex.org/W4235500030","https://openalex.org/W4237650020","https://openalex.org/W4300347525"],"related_works":["https://openalex.org/W4280529077","https://openalex.org/W2507185596","https://openalex.org/W1493684871","https://openalex.org/W4286224459","https://openalex.org/W2153591306","https://openalex.org/W2019198143","https://openalex.org/W301722310","https://openalex.org/W1484942309","https://openalex.org/W4294982710","https://openalex.org/W3102111841"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}