{"id":"https://openalex.org/W2057289836","doi":"https://doi.org/10.1109/iihmsp.2007.4457777","title":"An Optimized Approach on Applying Genetic Algorithm to Adaptive Cluster Validity Index","display_name":"An Optimized Approach on Applying Genetic Algorithm to Adaptive Cluster Validity Index","publication_year":2007,"publication_date":"2007-11-01","ids":{"openalex":"https://openalex.org/W2057289836","doi":"https://doi.org/10.1109/iihmsp.2007.4457777","mag":"2057289836"},"language":"en","primary_location":{"id":"doi:10.1109/iihmsp.2007.4457777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iihmsp.2007.4457777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)","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/A5101721383","display_name":"Lei Sun","orcid":"https://orcid.org/0000-0001-7577-7568"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Sun","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102811500","display_name":"Tzu\u2010Chieh Lin","orcid":"https://orcid.org/0000-0002-4748-4570"},"institutions":[{"id":"https://openalex.org/I89178830","display_name":"National Kaohsiung University of Applied Sciences","ror":"https://ror.org/04wydzr61","country_code":"TW","type":"education","lineage":["https://openalex.org/I89178830"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzu-Chieh Lin","raw_affiliation_strings":["National Kaohsiung University of Applied Sciences, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Kaohsiung University of Applied Sciences, Taiwan","institution_ids":["https://openalex.org/I89178830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112526689","display_name":"Hsiang-Cheh Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiang-Cheh Huang","raw_affiliation_strings":["National University of Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"National University of Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056455365","display_name":"Bin-Yih Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I89178830","display_name":"National Kaohsiung University of Applied Sciences","ror":"https://ror.org/04wydzr61","country_code":"TW","type":"education","lineage":["https://openalex.org/I89178830"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bin-Yih Liao","raw_affiliation_strings":["National Kaohsiung University of Applied Sciences, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Kaohsiung University of Applied Sciences, Taiwan","institution_ids":["https://openalex.org/I89178830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019810689","display_name":"Jeng\u2010Shyang Pan","orcid":"https://orcid.org/0000-0002-3128-9025"},"institutions":[{"id":"https://openalex.org/I89178830","display_name":"National Kaohsiung University of Applied Sciences","ror":"https://ror.org/04wydzr61","country_code":"TW","type":"education","lineage":["https://openalex.org/I89178830"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jeng-Shyang Pan","raw_affiliation_strings":["National Kaohsiung University of Applied Sciences, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Kaohsiung University of Applied Sciences, Taiwan","institution_ids":["https://openalex.org/I89178830"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101721383"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":2.71522825,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.90812855,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"582","last_page":"585"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9876999855041504,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9866999983787537,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6943142414093018},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6429123282432556},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6377127766609192},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.570802628993988},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5704087018966675},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5400245189666748},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.44605448842048645},{"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":0.43398404121398926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2961238622665405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18344199657440186},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.18168547749519348},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.17434793710708618}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6943142414093018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6429123282432556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6377127766609192},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.570802628993988},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5704087018966675},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5400245189666748},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.44605448842048645},{"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":0.43398404121398926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2961238622665405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18344199657440186},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.18168547749519348},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.17434793710708618},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iihmsp.2007.4457777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iihmsp.2007.4457777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1527205111","https://openalex.org/W1532186058","https://openalex.org/W1639032689","https://openalex.org/W1996747841","https://openalex.org/W2000047287","https://openalex.org/W2054232099","https://openalex.org/W2113076747","https://openalex.org/W2137686028","https://openalex.org/W2152150600","https://openalex.org/W2904250082","https://openalex.org/W3023540311","https://openalex.org/W3041035165","https://openalex.org/W3120740533","https://openalex.org/W6631463541","https://openalex.org/W6788247690"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3107474891","https://openalex.org/W2366792704","https://openalex.org/W2371447506","https://openalex.org/W2386767533","https://openalex.org/W2057623054","https://openalex.org/W2073018216","https://openalex.org/W1905886041","https://openalex.org/W2387271259","https://openalex.org/W2088505938"],"abstract_inverted_index":{"The":[0,95,121],"partitioning":[1],"or":[2],"clustering":[3],"method":[4],"is":[5,45,89,123],"an":[6,20,116],"important":[7],"research":[8],"branch":[9],"in":[10],"data":[11],"mining":[12],"area,":[13],"and":[14,129,139],"it":[15],"partitions":[16],"the":[17,28,35,40,59,75,82,91,102,106,132,142,151],"dataset":[18],"into":[19],"arbitrary":[21],"number":[22,145],"k":[23],"of":[24,31,34,78,105,109,146],"clusters":[25,42],"according":[26],"to":[27,68,81,100,114],"correlation":[29],"attribute":[30],"all":[32],"elements":[33],"dataset.":[36],"Most":[37],"datasets":[38,148],"have":[39],"original":[41,143],"number,":[43],"which":[44,88],"estimated":[46],"with":[47,125,150],"cluster":[48,54,85,111,118,144,153],"validity":[49,55,86,112,119,154],"index.":[50,120],"But":[51],"most":[52,63],"current":[53,152],"index":[56,93,113,155],"methods":[57],"give":[58,136],"error":[60],"estimation":[61],"for":[62],"real":[64,127,147],"datasets.":[65],"In":[66],"order":[67],"solve":[69],"this":[70,72],"problem,":[71],"paper":[73],"applies":[74,97],"optimization":[76],"technology":[77],"genetic":[79,98],"algorithm":[80,96,99,122,134],"new":[83],"adaptive":[84,110],"index,":[87],"called":[90],"gene":[92],"(GI).":[94],"adjust":[101],"weight":[103],"value":[104],"valuation":[107],"function":[108],"train":[115],"optimal":[117],"tested":[124],"many":[126],"datasets,":[128],"results":[130],"show":[131],"proposed":[133],"can":[135],"higher":[137],"performance":[138],"accurately":[140],"estimate":[141],"compared":[149],"methods.":[156]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":12}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}