{"id":"https://openalex.org/W1618077973","doi":"https://doi.org/10.3233/ida-2012-0545","title":"A comparison of clustering quality indices using outliers and noise","display_name":"A comparison of clustering quality indices using outliers and noise","publication_year":2012,"publication_date":"2012-07-11","ids":{"openalex":"https://openalex.org/W1618077973","doi":"https://doi.org/10.3233/ida-2012-0545","mag":"1618077973"},"language":"en","primary_location":{"id":"doi:10.3233/ida-2012-0545","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-2012-0545","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://oa.upm.es/72861/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084517684","display_name":"L. Guerra","orcid":"https://orcid.org/0000-0001-6936-7618"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"L. Guerra","raw_affiliation_strings":["Departamento de Inteligencia Artificial, Facultad de Inform\u00e1tica, Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Inteligencia Artificial, Facultad de Inform\u00e1tica, Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035271106","display_name":"V\u0131\u0301ctor Robles","orcid":"https://orcid.org/0000-0003-3937-2269"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"V. Robles","raw_affiliation_strings":["Departamento de Arquitectura y Tecnolog\u00eda de Sistemas Inform\u00e1ticos, Facultad de Inform\u00e1tica, Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Arquitectura y Tecnolog\u00eda de Sistemas Inform\u00e1ticos, Facultad de Inform\u00e1tica, Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010920098","display_name":"Concha Bielza","orcid":"https://orcid.org/0000-0001-7109-2668"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"C. Bielza","raw_affiliation_strings":["Departamento de Inteligencia Artificial, Facultad de Inform\u00e1tica, Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Inteligencia Artificial, Facultad de Inform\u00e1tica, Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049812833","display_name":"Pedro Larra\u00f1aga","orcid":"https://orcid.org/0000-0003-0652-9872"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"P. Larra\u00f1aga","raw_affiliation_strings":["Departamento de Inteligencia Artificial, Facultad de Inform\u00e1tica, Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Inteligencia Artificial, Facultad de Inform\u00e1tica, Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084517684"],"corresponding_institution_ids":["https://openalex.org/I88060688"],"apc_list":null,"apc_paid":null,"fwci":4.2813,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.9392103,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"4","first_page":"703","last_page":"715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9993000030517578,"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":0.9993000030517578,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9914000034332275,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9890000224113464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6868391633033752},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6852342486381531},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.49018579721450806},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4537028968334198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4432207942008972},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43796902894973755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42129069566726685},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3762701153755188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3675072491168976},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32693004608154297},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06154578924179077}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6868391633033752},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6852342486381531},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.49018579721450806},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4537028968334198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4432207942008972},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43796902894973755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42129069566726685},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3762701153755188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3675072491168976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32693004608154297},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06154578924179077},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/ida-2012-0545","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-2012-0545","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"},{"id":"pmh:oai:oa.upm.es:72861","is_oa":true,"landing_page_url":"https://oa.upm.es/72861/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196323","display_name":"UPM Digital Archive (Technical University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Intelligent Data Analysis, ISSN 1571-4128, 2012-07, Vol. 16, No. 4","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:oa.upm.es:72861","is_oa":true,"landing_page_url":"https://oa.upm.es/72861/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196323","display_name":"UPM Digital Archive (Technical University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Intelligent Data Analysis, ISSN 1571-4128, 2012-07, Vol. 16, No. 4","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W189063709","https://openalex.org/W1601063618","https://openalex.org/W1971784203","https://openalex.org/W1972927593","https://openalex.org/W1974775262","https://openalex.org/W1975152892","https://openalex.org/W1979813476","https://openalex.org/W1987971958","https://openalex.org/W1998871699","https://openalex.org/W2002229540","https://openalex.org/W2008788779","https://openalex.org/W2016381774","https://openalex.org/W2029064186","https://openalex.org/W2033403400","https://openalex.org/W2041798919","https://openalex.org/W2049633694","https://openalex.org/W2051224630","https://openalex.org/W2077748623","https://openalex.org/W2085487226","https://openalex.org/W2108323654","https://openalex.org/W2127218421","https://openalex.org/W2129066856","https://openalex.org/W2131456395","https://openalex.org/W2133098435","https://openalex.org/W2319660501","https://openalex.org/W2612166593","https://openalex.org/W3017143921","https://openalex.org/W3034265065","https://openalex.org/W4238801398","https://openalex.org/W4242401062","https://openalex.org/W4244030505","https://openalex.org/W4244504152","https://openalex.org/W4245436919"],"related_works":["https://openalex.org/W4213156298","https://openalex.org/W2377965731","https://openalex.org/W4382322875","https://openalex.org/W2901947522","https://openalex.org/W3183283580","https://openalex.org/W2337929971","https://openalex.org/W4313069709","https://openalex.org/W4283741549","https://openalex.org/W4250175685","https://openalex.org/W2360069064"],"abstract_inverted_index":{"Quality":[0],"indices":[1,29],"in":[2,23,32],"clustering":[3,41],"are":[4,30],"used":[5],"not":[6],"only":[7],"to":[8,17],"assess":[9],"the":[10,13,19,24],"quality":[11],"of":[12,21],"partitions":[14],"but":[15],"also":[16],"determine":[18],"number":[20],"clusters":[22],"final":[25],"result.":[26],"When":[27],"these":[28],"evaluated":[31],"a":[33,42],"case":[34],"study,":[35],"real":[36],"data":[37],"conditions":[38],"or":[39],"different":[40]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}