{"id":"https://openalex.org/W2026417063","doi":"https://doi.org/10.1109/socpar.2010.5686097","title":"Harmony search algorithm for simultaneous clustering and feature selection","display_name":"Harmony search algorithm for simultaneous clustering and feature selection","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2026417063","doi":"https://doi.org/10.1109/socpar.2010.5686097","mag":"2026417063"},"language":"en","primary_location":{"id":"doi:10.1109/socpar.2010.5686097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socpar.2010.5686097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference of Soft Computing and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","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/A5040103129","display_name":"Hadi Sarvari","orcid":"https://orcid.org/0000-0001-7621-1603"},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Hadi Sarvari","raw_affiliation_strings":["Department of computer, Faculty engineering, Islamic Azad University, Behbahan, Iran","Department of computer, Faculty engineering, Islamic Azad University, Behbahan Branch, Behbahan, Iran"],"affiliations":[{"raw_affiliation_string":"Department of computer, Faculty engineering, Islamic Azad University, Behbahan, Iran","institution_ids":["https://openalex.org/I110525433"]},{"raw_affiliation_string":"Department of computer, Faculty engineering, Islamic Azad University, Behbahan Branch, Behbahan, Iran","institution_ids":["https://openalex.org/I110525433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011380120","display_name":"Nima Khairdoost","orcid":null},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Nima Khairdoost","raw_affiliation_strings":["Department of computer, Faculty engineering, Islamic Azad University, Behbahan, Iran","Department of computer, Faculty engineering, Islamic Azad University, Behbahan Branch, Behbahan, Iran"],"affiliations":[{"raw_affiliation_string":"Department of computer, Faculty engineering, Islamic Azad University, Behbahan, Iran","institution_ids":["https://openalex.org/I110525433"]},{"raw_affiliation_string":"Department of computer, Faculty engineering, Islamic Azad University, Behbahan Branch, Behbahan, Iran","institution_ids":["https://openalex.org/I110525433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038852130","display_name":"Abdolvahhab Fetanat","orcid":"https://orcid.org/0000-0002-9660-4073"},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Abdolvahhab Fetanat","raw_affiliation_strings":["Department of computer, Faculty engineering, Islamic Azad University, Behbahan, Iran","Department of computer, Faculty engineering, Islamic Azad University, Behbahan Branch, Behbahan, Iran"],"affiliations":[{"raw_affiliation_string":"Department of computer, Faculty engineering, Islamic Azad University, Behbahan, Iran","institution_ids":["https://openalex.org/I110525433"]},{"raw_affiliation_string":"Department of computer, Faculty engineering, Islamic Azad University, Behbahan Branch, Behbahan, Iran","institution_ids":["https://openalex.org/I110525433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040103129"],"corresponding_institution_ids":["https://openalex.org/I110525433"],"apc_list":null,"apc_paid":null,"fwci":0.6374,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.69503472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"202","last_page":"207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9961000084877014,"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":0.9955000281333923,"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":0.8581066131591797},{"id":"https://openalex.org/keywords/harmony-search","display_name":"Harmony search","score":0.7873532772064209},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7284675240516663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6671605706214905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5826725959777832},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5679436326026917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5661836862564087},{"id":"https://openalex.org/keywords/minimum-redundancy-feature-selection","display_name":"Minimum redundancy feature selection","score":0.4911038875579834},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4619297385215759},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45266634225845337},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.42781034111976624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3239118456840515}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8581066131591797},{"id":"https://openalex.org/C33099171","wikidata":"https://www.wikidata.org/wiki/Q26208718","display_name":"Harmony search","level":2,"score":0.7873532772064209},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7284675240516663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6671605706214905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5826725959777832},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5679436326026917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5661836862564087},{"id":"https://openalex.org/C16811321","wikidata":"https://www.wikidata.org/wiki/Q17138905","display_name":"Minimum redundancy feature selection","level":3,"score":0.4911038875579834},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4619297385215759},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45266634225845337},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.42781034111976624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3239118456840515},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/socpar.2010.5686097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socpar.2010.5686097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference of Soft Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1602957698","https://openalex.org/W1971784203","https://openalex.org/W1985334587","https://openalex.org/W2005679553","https://openalex.org/W2018020721","https://openalex.org/W2018516981","https://openalex.org/W2019310766","https://openalex.org/W2053677366","https://openalex.org/W2079560777","https://openalex.org/W2079709766","https://openalex.org/W2097740639","https://openalex.org/W2099239187","https://openalex.org/W2103868202","https://openalex.org/W2107903523","https://openalex.org/W2117928565","https://openalex.org/W2121947440","https://openalex.org/W2127218421","https://openalex.org/W2135000328","https://openalex.org/W2164657862","https://openalex.org/W2319660501","https://openalex.org/W2491630315","https://openalex.org/W2799061466","https://openalex.org/W2923626555","https://openalex.org/W4230946174","https://openalex.org/W4244000367","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W74056413","https://openalex.org/W2286904880","https://openalex.org/W2374344280","https://openalex.org/W2385233088","https://openalex.org/W2889525776","https://openalex.org/W1990009229","https://openalex.org/W2384303144","https://openalex.org/W2909025082","https://openalex.org/W2026417063","https://openalex.org/W2894871804"],"abstract_inverted_index":{"Feature":[0],"selection":[1,27,46,57,83,108,126],"is":[2,14,20,31,103],"an":[3,33,40,58],"important":[4],"process":[5],"in":[6,80,131],"data":[7,11],"analysis":[8],"for":[9,42],"information-preserving":[10],"reduction.":[12],"Clustering":[13],"inherently":[15],"a":[16,49,89,99],"difficult":[17,24],"task":[18],"and":[19,44,67,84,109,127],"made":[21],"even":[22],"more":[23],"when":[25],"the":[26,62,71,93,132],"of":[28,61,73,95,115],"relevant":[29],"features":[30],"also":[32],"issue.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"approach":[41,54],"clustering":[43,64],"feature":[45,56,82,107,125],"simultaneously":[47],"using":[48],"harmony":[50],"search":[51,65,119],"algorithm.":[52],"Our":[53],"makes":[55],"integral":[59],"part":[60],"global":[63],"procedure":[66],"attempts":[68],"to":[69,123],"overcome":[70],"problem":[72],"identifying":[74],"less":[75],"promising":[76],"locally":[77],"optimal":[78],"solutions":[79],"both":[81,106],"clustering,":[85],"without":[86],"making":[87],"any":[88],"prior":[90],"assumption":[91],"about":[92],"number":[94],"clusters.":[96,116],"Within":[97],"ourmethod,":[98],"variable":[100],"composite":[101],"representation":[102],"devised":[104],"toencode":[105],"cluster":[110,128],"centers":[111,129],"with":[112],"different":[113],"numbers":[114],"Furthermore,":[117],"local":[118],"operations":[120],"are":[121],"used":[122],"improve":[124],"encoded":[130],"harmonics.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"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"}