{"id":"https://openalex.org/W1987518410","doi":"https://doi.org/10.1007/s10994-013-5332-0","title":"Enriched spatial comparison of clusterings through discovery of deviating subspaces","display_name":"Enriched spatial comparison of clusterings through discovery of deviating subspaces","publication_year":2013,"publication_date":"2013-03-08","ids":{"openalex":"https://openalex.org/W1987518410","doi":"https://doi.org/10.1007/s10994-013-5332-0","mag":"1987518410"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-013-5332-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-013-5332-0","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5332-0.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5332-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041298460","display_name":"Eric Bae","orcid":null},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Eric Bae","raw_affiliation_strings":["Department of Computing and Information Systems, The University of Melbourne, Melbourne, Australia","(Department of Computing and Information Systems, The University of Melbourne, Melbourne, Australia)"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Systems, The University of Melbourne, Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"(Department of Computing and Information Systems, The University of Melbourne, Melbourne, Australia)","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101609697","display_name":"James Bailey","orcid":"https://orcid.org/0000-0002-3769-3811"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"James Bailey","raw_affiliation_strings":["Department of Computing and Information Systems, The University of Melbourne, Melbourne, Australia","(Department of Computing and Information Systems, The University of Melbourne, Melbourne, Australia)"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Systems, The University of Melbourne, Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"(Department of Computing and Information Systems, The University of Melbourne, Melbourne, Australia)","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041298460"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.3231,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55221721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"98","issue":"1-2","first_page":"93","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9968000054359436,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/similarity","display_name":"Similarity (geometry)","score":0.7575401067733765},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7390913367271423},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6826483011245728},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5691147446632385},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5665438771247864},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5341562032699585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5225862264633179},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5044435262680054},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45976346731185913},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44995903968811035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4281126856803894},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4175412058830261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38655537366867065},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09051954746246338}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7575401067733765},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7390913367271423},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6826483011245728},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5691147446632385},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5665438771247864},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5341562032699585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5225862264633179},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5044435262680054},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45976346731185913},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44995903968811035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4281126856803894},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4175412058830261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38655537366867065},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09051954746246338},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10994-013-5332-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-013-5332-0","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5332-0.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:jupiter.its.unimelb.edu.au:11343/55195","is_oa":true,"landing_page_url":"http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&amp;SrcApp=PARTNER_APP&amp;SrcAuth=LinksAMR&amp;KeyUT=WOS:000347694700005&amp;DestLinkType=FullRecord&amp;DestApp=ALL_WOS&amp;UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c","pdf_url":"http://hdl.handle.net/11343/55195","source":{"id":"https://openalex.org/S4377196259","display_name":"Minerva Access (University of Melbourne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165779595","host_organization_name":"The University of Melbourne","host_organization_lineage":["https://openalex.org/I165779595"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1007/s10994-013-5332-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-013-5332-0","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5332-0.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4327877281","display_name":null,"funder_award_id":"FT110100112","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G5714184577","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1987518410.pdf","grobid_xml":"https://content.openalex.org/works/W1987518410.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1541490439","https://openalex.org/W1585743408","https://openalex.org/W1660133578","https://openalex.org/W1977496278","https://openalex.org/W2033403400","https://openalex.org/W2039682702","https://openalex.org/W2065427498","https://openalex.org/W2065811242","https://openalex.org/W2070412788","https://openalex.org/W2078064242","https://openalex.org/W2083607096","https://openalex.org/W2109464129","https://openalex.org/W2117355841","https://openalex.org/W2118335145","https://openalex.org/W2138745909","https://openalex.org/W2141729166","https://openalex.org/W2154440943","https://openalex.org/W2157305458","https://openalex.org/W2159847489","https://openalex.org/W2162833336","https://openalex.org/W2164497202","https://openalex.org/W2222512263","https://openalex.org/W2279381629","https://openalex.org/W2330846461","https://openalex.org/W2531563875","https://openalex.org/W2560674852","https://openalex.org/W2614237344","https://openalex.org/W2963218110","https://openalex.org/W3103592096","https://openalex.org/W3120740533","https://openalex.org/W4205391292","https://openalex.org/W4206448383","https://openalex.org/W4235169531","https://openalex.org/W4285719527","https://openalex.org/W4301073899","https://openalex.org/W4301461621","https://openalex.org/W6632377185","https://openalex.org/W6666934285","https://openalex.org/W6677681077","https://openalex.org/W6829359520"],"related_works":["https://openalex.org/W2391321755","https://openalex.org/W2896134808","https://openalex.org/W3103861421","https://openalex.org/W4211228991","https://openalex.org/W2949110394","https://openalex.org/W2353790329","https://openalex.org/W2279743781","https://openalex.org/W140666874","https://openalex.org/W1978233018","https://openalex.org/W1963929401"],"abstract_inverted_index":null,"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
