{"id":"https://openalex.org/W32723560","doi":"https://doi.org/10.1155/s1110865704309078","title":"Cluster Structure Inference Based on Clustering Stability with Applications to Microarray Data Analysis","display_name":"Cluster Structure Inference Based on Clustering Stability with Applications to Microarray Data Analysis","publication_year":2004,"publication_date":"2004-01-21","ids":{"openalex":"https://openalex.org/W32723560","doi":"https://doi.org/10.1155/s1110865704309078","mag":"32723560"},"language":"en","primary_location":{"id":"doi:10.1155/s1110865704309078","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704309078","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865704309078","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"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":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865704309078","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006344024","display_name":"Ciprian Doru Giurc\u0103neanu","orcid":"https://orcid.org/0000-0001-5512-0868"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Ciprian Doru Giurc\u0103neanu","raw_affiliation_strings":["Institute of Signal Processing, Tampere University of Technology, P.O. Box 553, Tampere, FIN, 33101, Finland","Institute of Signal Processing, Tampere University of Technology, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing, Tampere University of Technology, P.O. Box 553, Tampere, FIN, 33101, Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Institute of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008130391","display_name":"Ioan T\u0103bu\u015f","orcid":"https://orcid.org/0000-0003-3131-9551"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Ioan T\u0103bu\u015f","raw_affiliation_strings":["Institute of Signal Processing, Tampere University of Technology, P.O. Box 553, Tampere, FIN, 33101, Finland","Institute of Signal Processing, Tampere University of Technology, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing, Tampere University of Technology, P.O. Box 553, Tampere, FIN, 33101, Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Institute of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006344024"],"corresponding_institution_ids":["https://openalex.org/I4210133110"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":0.6848,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.64656848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2004","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9997000098228455,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9976000189781189,"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":0.9933000206947327,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7438570857048035},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6764287352561951},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6494652628898621},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.6398817300796509},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6345908641815186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5701597929000854},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5674638152122498},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.495124489068985},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4572993218898773},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.42388370633125305},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41751012206077576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3865641951560974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31057411432266235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16430681943893433}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7438570857048035},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6764287352561951},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6494652628898621},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.6398817300796509},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6345908641815186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5701597929000854},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5674638152122498},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.495124489068985},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4572993218898773},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.42388370633125305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41751012206077576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3865641951560974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31057411432266235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16430681943893433},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/s1110865704309078","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704309078","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865704309078","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"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":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.398.837","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.398.837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://asp.eurasipjournals.com/content/pdf/1687-6180-2004-545761.pdf","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:396cb173935e4a2da7f118d8f22630d4","is_oa":true,"landing_page_url":"https://doaj.org/article/396cb173935e4a2da7f118d8f22630d4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2004, Iss 1, p 545761 (2004)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/s1110865704309078","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704309078","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865704309078","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"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":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W32723560.pdf","grobid_xml":"https://content.openalex.org/works/W32723560.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W101293721","https://openalex.org/W101836494","https://openalex.org/W1548779692","https://openalex.org/W1747798576","https://openalex.org/W1886306325","https://openalex.org/W1971814959","https://openalex.org/W1974775262","https://openalex.org/W1983838190","https://openalex.org/W1986373014","https://openalex.org/W1989967017","https://openalex.org/W1992763738","https://openalex.org/W1996134775","https://openalex.org/W1999345637","https://openalex.org/W2006982253","https://openalex.org/W2018821242","https://openalex.org/W2030644393","https://openalex.org/W2033403400","https://openalex.org/W2052946386","https://openalex.org/W2071949631","https://openalex.org/W2085080020","https://openalex.org/W2085487226","https://openalex.org/W2090634555","https://openalex.org/W2090658088","https://openalex.org/W2109363337","https://openalex.org/W2150926065","https://openalex.org/W2313244257","https://openalex.org/W2416999725","https://openalex.org/W2612166593","https://openalex.org/W2999729612","https://openalex.org/W3138771162","https://openalex.org/W4242401062","https://openalex.org/W4244030505","https://openalex.org/W4249544451","https://openalex.org/W4251348903","https://openalex.org/W4298882835","https://openalex.org/W6655030434","https://openalex.org/W6671861498"],"related_works":["https://openalex.org/W2026761251","https://openalex.org/W1457719682","https://openalex.org/W2592952084","https://openalex.org/W3010198599","https://openalex.org/W3216028647","https://openalex.org/W2762277149","https://openalex.org/W2888523397","https://openalex.org/W1989859714","https://openalex.org/W2380798983","https://openalex.org/W2032933424"],"abstract_inverted_index":{"This":[0],"paper":[1,81],"focuses":[2],"on":[3,88],"the":[4,9,29,38,41,55,58,64,67,73,77,95,109,114],"stability-based":[5],"approach":[6,19],"for":[7,49],"estimating":[8,51],"number":[10],"of":[11,28,40,57,66,94,100,120],"clusters":[12],"in":[13],"microarray":[14],"data.":[15],"The":[16,80,92],"cluster":[17],"stability":[18],"amounts":[20],"to":[21],"performing":[22],"clustering":[23,69],"successively":[24],"over":[25],"random":[26],"subsets":[27],"available":[30,132],"data":[31,111],"and":[32,98],"evaluating":[33],"an":[34,121],"index":[35,86,97],"which":[36],"expresses":[37],"similarity":[39,59,74,85],"successive":[42],"partitions":[43],"obtained.":[44],"We":[45,61],"present":[46],"a":[47,83,89,130],"method":[48],"automatically":[50],"by":[52,107],"starting":[53],"from":[54],"distribution":[56],"index.":[60],"investigate":[62],"how":[63],"selection":[65],"hierarchical":[68],"(HC)":[70],"method,":[71],"respectively,":[72],"index,":[75],"influences":[76],"estimation":[78],"accuracy.":[79],"introduces":[82],"new":[84,96],"based":[87],"partition":[90,112,115],"distance.":[91],"performance":[93],"that":[99],"other":[101],"well-known":[102],"indices":[103],"are":[104],"experimentally":[105],"evaluated":[106],"comparing":[108],"\"true\"":[110],"with":[113,129],"obtained":[116],"at":[117],"each":[118],"level":[119],"HC":[122],"tree.":[123],"A":[124],"case":[125],"study":[126],"is":[127],"conducted":[128],"publicly":[131],"Leukemia":[133],"dataset.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}