{"id":"https://openalex.org/W61117818","doi":"https://doi.org/10.1007/978-3-540-85565-1_23","title":"Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics","display_name":"Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics","publication_year":2008,"publication_date":"2008-08-31","ids":{"openalex":"https://openalex.org/W61117818","doi":"https://doi.org/10.1007/978-3-540-85565-1_23","mag":"61117818"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-85565-1_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-85565-1_23","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5053890378","display_name":"Davide Bacciu","orcid":"https://orcid.org/0000-0001-5213-2468"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]},{"id":"https://openalex.org/I127077003","display_name":"IMT School for Advanced Studies Lucca","ror":"https://ror.org/035gh3a49","country_code":"IT","type":"education","lineage":["https://openalex.org/I127077003"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Bacciu","raw_affiliation_strings":["Dipartimento di Informatica, Universit\u00e0 di Pisa, Largo B. Pontecorvo 3, 56127, Pisa, Italy","IMT Lucca Institute for Advanced Studies, P.zza San Ponziano 6, 55100, Lucca, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Universit\u00e0 di Pisa, Largo B. Pontecorvo 3, 56127, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"IMT Lucca Institute for Advanced Studies, P.zza San Ponziano 6, 55100, Lucca, Italy","institution_ids":["https://openalex.org/I127077003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049635189","display_name":"Elia Biganzoli","orcid":"https://orcid.org/0000-0003-1202-5873"},"institutions":[{"id":"https://openalex.org/I4210156707","display_name":"Fondazione IRCCS Istituto Nazionale dei Tumori","ror":"https://ror.org/05dwj7825","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210153126","https://openalex.org/I4210156707"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elia Biganzoli","raw_affiliation_strings":["Division of Medical Statistics and Biometry, Istituto Nazionale per lo Studio e la Cura dei Tumori, \u00a0, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Medical Statistics and Biometry, Istituto Nazionale per lo Studio e la Cura dei Tumori, \u00a0, Milan, Italy","institution_ids":["https://openalex.org/I4210156707"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010155676","display_name":"Paulo Lisb\u00f6a","orcid":"https://orcid.org/0000-0001-6365-4499"},"institutions":[{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paulo J. G. Lisboa","raw_affiliation_strings":["School of Computing and Mathematical Science, Liverpool John Moores University, Liverpool, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematical Science, Liverpool John Moores University, Liverpool, UK","institution_ids":["https://openalex.org/I63098007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019191173","display_name":"Antonina Starita","orcid":null},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonina Starita","raw_affiliation_strings":["Dipartimento di Informatica, Universit\u00e0 di Pisa, Largo B. Pontecorvo 3, 56127, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Universit\u00e0 di Pisa, Largo B. Pontecorvo 3, 56127, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","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/T11901","display_name":"Bayesian Methods and Mixture Models","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/T10885","display_name":"Gene expression and cancer classification","score":0.964900016784668,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9330000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.7614697217941284},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7545592784881592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.708168625831604},{"id":"https://openalex.org/keywords/medoid","display_name":"Medoid","score":0.6855657696723938},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6666920185089111},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5791112780570984},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.56769859790802},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5319032669067383},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.49342265725135803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47465163469314575},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44087427854537964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43931883573532104},{"id":"https://openalex.org/keywords/determining-the-number-of-clusters-in-a-data-set","display_name":"Determining the number of clusters in a data set","score":0.4327852427959442},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43035799264907837},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40917399525642395},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.2443857491016388},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.24009659886360168},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17449378967285156},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0813351571559906},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06351348757743835}],"concepts":[{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.7614697217941284},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7545592784881592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.708168625831604},{"id":"https://openalex.org/C63085389","wikidata":"https://www.wikidata.org/wiki/Q4287912","display_name":"Medoid","level":3,"score":0.6855657696723938},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6666920185089111},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5791112780570984},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.56769859790802},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5319032669067383},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.49342265725135803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47465163469314575},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44087427854537964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43931883573532104},{"id":"https://openalex.org/C149872217","wikidata":"https://www.wikidata.org/wiki/Q5265701","display_name":"Determining the number of clusters in a data set","level":5,"score":0.4327852427959442},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43035799264907837},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40917399525642395},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.2443857491016388},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.24009659886360168},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17449378967285156},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0813351571559906},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06351348757743835},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-540-85565-1_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-85565-1_23","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arpi.unipi.it:11568/465487","is_oa":false,"landing_page_url":"http://link.springer.com/chapter/10.1007%2F978-3-540-85565-1_23","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W61015563","https://openalex.org/W65738273","https://openalex.org/W1485231155","https://openalex.org/W1726806267","https://openalex.org/W2015245929","https://openalex.org/W2106304233","https://openalex.org/W2119937234","https://openalex.org/W2150871663","https://openalex.org/W2152483656","https://openalex.org/W2169026875","https://openalex.org/W2279967178","https://openalex.org/W3022351671"],"related_works":["https://openalex.org/W61117818","https://openalex.org/W3216327661","https://openalex.org/W2052862819","https://openalex.org/W2975007781","https://openalex.org/W4380987856","https://openalex.org/W3184936773","https://openalex.org/W4313362956","https://openalex.org/W2074629962","https://openalex.org/W2055747151","https://openalex.org/W1761283784"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}
