{"id":"https://openalex.org/W2567158557","doi":"https://doi.org/10.1017/s1743921317001569","title":"Hierarchical Matching and Regression with Application to Photometric Redshift Estimation","display_name":"Hierarchical Matching and Regression with Application to Photometric Redshift Estimation","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2567158557","doi":"https://doi.org/10.1017/s1743921317001569","mag":"2567158557"},"language":"en","primary_location":{"id":"doi:10.1017/s1743921317001569","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s1743921317001569","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/4FB6069B47750AE587456CDAA7BCFDCA/S1743921317001569a.pdf/div-class-title-hierarchical-matching-and-regression-with-application-to-photometric-redshift-estimation-div.pdf","source":{"id":"https://openalex.org/S4210212087","display_name":"Proceedings of the International Astronomical Union","issn_l":"1743-9213","issn":["1743-9213","1743-9221"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Astronomical Union","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/4FB6069B47750AE587456CDAA7BCFDCA/S1743921317001569a.pdf/div-class-title-hierarchical-matching-and-regression-with-application-to-photometric-redshift-estimation-div.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000885553","display_name":"Fionn Murtagh","orcid":"https://orcid.org/0000-0002-0589-6892"},"institutions":[{"id":"https://openalex.org/I22128151","display_name":"University of Derby","ror":"https://ror.org/02yhrrk59","country_code":"GB","type":"education","lineage":["https://openalex.org/I22128151"]},{"id":"https://openalex.org/I55521800","display_name":"Goldsmiths University of London","ror":"https://ror.org/01khx4a30","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I55521800"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Fionn Murtagh","raw_affiliation_strings":["Big Data Lab, Department of Electronics, Computing and Mathematics, University of Derby, Derby DE22 1GB, UK","Department of Computing, Goldsmiths University of London, London SE14 6NW, UK"],"raw_orcid":"https://orcid.org/0000-0002-0589-6892","affiliations":[{"raw_affiliation_string":"Big Data Lab, Department of Electronics, Computing and Mathematics, University of Derby, Derby DE22 1GB, UK","institution_ids":["https://openalex.org/I22128151"]},{"raw_affiliation_string":"Department of Computing, Goldsmiths University of London, London SE14 6NW, UK","institution_ids":["https://openalex.org/I55521800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5000885553"],"corresponding_institution_ids":["https://openalex.org/I22128151","https://openalex.org/I55521800"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18082604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"12","issue":"S325","first_page":"145","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13234","display_name":"advanced mathematical theories","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13234","display_name":"advanced mathematical theories","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9605000019073486,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9571999907493591,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/redshift","display_name":"Redshift","score":0.6011013388633728},{"id":"https://openalex.org/keywords/photometric-redshift","display_name":"Photometric redshift","score":0.5810892581939697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5624065399169922},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.542053759098053},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4381650686264038},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36636921763420105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35110288858413696},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22392943501472473},{"id":"https://openalex.org/keywords/astrophysics","display_name":"Astrophysics","score":0.22037538886070251},{"id":"https://openalex.org/keywords/galaxy","display_name":"Galaxy","score":0.21596631407737732}],"concepts":[{"id":"https://openalex.org/C33024259","wikidata":"https://www.wikidata.org/wiki/Q76250","display_name":"Redshift","level":3,"score":0.6011013388633728},{"id":"https://openalex.org/C2780974285","wikidata":"https://www.wikidata.org/wiki/Q3967221","display_name":"Photometric redshift","level":4,"score":0.5810892581939697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5624065399169922},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.542053759098053},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4381650686264038},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36636921763420105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35110288858413696},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22392943501472473},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.22037538886070251},{"id":"https://openalex.org/C98444146","wikidata":"https://www.wikidata.org/wiki/Q318","display_name":"Galaxy","level":2,"score":0.21596631407737732}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1017/s1743921317001569","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s1743921317001569","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/4FB6069B47750AE587456CDAA7BCFDCA/S1743921317001569a.pdf/div-class-title-hierarchical-matching-and-regression-with-application-to-photometric-redshift-estimation-div.pdf","source":{"id":"https://openalex.org/S4210212087","display_name":"Proceedings of the International Astronomical Union","issn_l":"1743-9213","issn":["1743-9213","1743-9221"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Astronomical Union","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1612.03931","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1612.03931","pdf_url":"https://arxiv.org/pdf/1612.03931","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"doi:10.1017/s1743921317001569","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s1743921317001569","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/4FB6069B47750AE587456CDAA7BCFDCA/S1743921317001569a.pdf/div-class-title-hierarchical-matching-and-regression-with-application-to-photometric-redshift-estimation-div.pdf","source":{"id":"https://openalex.org/S4210212087","display_name":"Proceedings of the International Astronomical Union","issn_l":"1743-9213","issn":["1743-9213","1743-9221"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Astronomical Union","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2567158557.pdf","grobid_xml":"https://content.openalex.org/works/W2567158557.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2005629457","https://openalex.org/W2020757402","https://openalex.org/W2032744495","https://openalex.org/W2054714989","https://openalex.org/W2097521906","https://openalex.org/W2119530071","https://openalex.org/W2154889989","https://openalex.org/W2157098524","https://openalex.org/W2161966883","https://openalex.org/W2167888367","https://openalex.org/W2412473781","https://openalex.org/W2460179520","https://openalex.org/W2768877776","https://openalex.org/W2950912493","https://openalex.org/W2950973588","https://openalex.org/W3100943381","https://openalex.org/W3104300173","https://openalex.org/W3105817704","https://openalex.org/W4235207308"],"related_works":["https://openalex.org/W2952000709","https://openalex.org/W2103067535","https://openalex.org/W2024864808","https://openalex.org/W1613035044","https://openalex.org/W2366516297","https://openalex.org/W3043088285","https://openalex.org/W3103734241","https://openalex.org/W2110478289","https://openalex.org/W3098242113","https://openalex.org/W3104092563"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"work":[2],"emphasizes":[3],"that":[4,65],"heterogeneity,":[5],"diversity,":[6],"discontinuity,":[7],"and":[8,18,49,62,150,173],"discreteness":[9],"in":[10,16,33,71,125],"data":[11,31,79,112],"is":[12,36,60,80,96,100,134],"to":[13,102,115,145,151,165],"be":[14,28],"exploited":[15],"classification":[17],"regression":[19],"problems.":[20],"A":[21],"global":[22],"a":[23,53,83,122,135],"priori":[24],"model":[25],"may":[26],"not":[27],"desirable.":[29],"For":[30],"analytics":[32,64,148],"cosmology,":[34],"this":[35,126,147],"motivated":[37],"by":[38,82],"the":[39,72,78,88,94,111,116,119,157],"variety":[40],"of":[41,56,68,77,110,118,137],"cosmological":[42],"objects":[43],"such":[44],"as":[45],"elliptical,":[46],"spiral,":[47],"active,":[48],"merging":[50],"galaxies":[51],"at":[52],"wide":[54],"range":[55],"redshifts.":[57,175],"Our":[58],"aim":[59],"matching":[61],"similarity-based":[63],"takes":[66],"account":[67],"discrete":[69],"relationships":[70],"data.":[73],"The":[74,98,106],"information":[75],"structure":[76],"represented":[81],"hierarchy":[84],"or":[85,108,161],"tree":[86],"where":[87],"branch":[89],"structure,":[90],"rather":[91],"than":[92],"just":[93],"proximity,":[95],"important.":[97],"representation":[99],"related":[101,114],"p-adic":[103],"number":[104],"theory.":[105],"clustering":[107],"binning":[109],"values,":[113],"precision":[117],"measurements,":[120],"has":[121],"central":[123],"role":[124],"methodology.":[127],"If":[128],"used":[129],"for":[130],"regression,":[131,139],"our":[132],"approach":[133],"method":[136],"cluster-wise":[138],"generalizing":[140],"nearest":[141],"neighbour":[142],"regression.":[143],"Both":[144],"exemplify":[146],"approach,":[149],"demonstrate":[152],"computational":[153],"benefits,":[154],"we":[155],"address":[156],"well-known":[158],"photometric":[159,174],"redshift":[160],"\u2018photo-z\u2019":[162],"problem,":[163],"seeking":[164],"match":[166],"Sloan":[167],"Digital":[168],"Sky":[169],"Survey":[170],"(SDSS)":[171],"spectroscopic":[172]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-01-06T00:00:00"}