{"id":"https://openalex.org/W2522562629","doi":"https://doi.org/10.1142/s0218001417500100","title":"Improved Spectral Clustering Based on Density Combining DNA Genetic Algorithm","display_name":"Improved Spectral Clustering Based on Density Combining DNA Genetic Algorithm","publication_year":2016,"publication_date":"2016-09-23","ids":{"openalex":"https://openalex.org/W2522562629","doi":"https://doi.org/10.1142/s0218001417500100","mag":"2522562629"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001417500100","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001417500100","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5029006172","display_name":"Wenke Zang","orcid":"https://orcid.org/0000-0002-4899-6316"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenke Zang","raw_affiliation_strings":["School of Management Science and Engineering, Shandong Normal University, Jinan 250014, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Shandong Normal University, Jinan 250014, P. R. China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007958262","display_name":"Zhenni Jiang","orcid":"https://orcid.org/0000-0003-4119-0042"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenni Jiang","raw_affiliation_strings":["School of Management Science and Engineering, Shandong Normal University, Jinan 250014, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Shandong Normal University, Jinan 250014, P. R. China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085196545","display_name":"Liyan Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyan Ren","raw_affiliation_strings":["School of Management Science and Engineering, Shandong Normal University, Jinan 250014, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Shandong Normal University, Jinan 250014, P. R. China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029006172"],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":null,"apc_paid":null,"fwci":2.3163,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89690944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"31","issue":"04","first_page":"1750010","last_page":"1750010"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12029","display_name":"DNA and Biological Computing","score":0.9835000038146973,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9821000099182129,"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":0.825666069984436},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6833831667900085},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.641645610332489},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.6339384317398071},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.6231443881988525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6102604269981384},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.5998826026916504},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5574474930763245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5371400117874146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5102002620697021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49778127670288086},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4747198820114136},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4638972282409668},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.4610179662704468},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.44211825728416443},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"Affinity propagation","score":0.4351641535758972},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.399179071187973},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16697102785110474}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.825666069984436},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6833831667900085},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.641645610332489},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.6339384317398071},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.6231443881988525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6102604269981384},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.5998826026916504},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5574474930763245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5371400117874146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5102002620697021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49778127670288086},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4747198820114136},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4638972282409668},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.4610179662704468},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.44211825728416443},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.4351641535758972},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.399179071187973},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16697102785110474}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001417500100","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001417500100","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310677","display_name":"University of Texas at San Antonio","ror":"https://ror.org/01kd65564"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W880748265","https://openalex.org/W1560329957","https://openalex.org/W1578099820","https://openalex.org/W1978348710","https://openalex.org/W1986747608","https://openalex.org/W1998819761","https://openalex.org/W2029064186","https://openalex.org/W2033403400","https://openalex.org/W2045326273","https://openalex.org/W2052005199","https://openalex.org/W2074617510","https://openalex.org/W2107887685","https://openalex.org/W2131743167","https://openalex.org/W2132914434","https://openalex.org/W2133896597","https://openalex.org/W2134448697","https://openalex.org/W2152322845","https://openalex.org/W2165874743","https://openalex.org/W2256361316","https://openalex.org/W2272535016","https://openalex.org/W2293546752","https://openalex.org/W2341527062","https://openalex.org/W3105265400"],"related_works":["https://openalex.org/W3143474612","https://openalex.org/W2358586643","https://openalex.org/W2245611357","https://openalex.org/W2350928286","https://openalex.org/W2567087402","https://openalex.org/W2350312206","https://openalex.org/W3147915011","https://openalex.org/W3161182202","https://openalex.org/W2361333219","https://openalex.org/W2748683358"],"abstract_inverted_index":{"Spectral":[0],"clustering":[1,35,73,149,165,186,198],"has":[2],"become":[3],"very":[4],"popular":[5,28],"in":[6,24,100,108,123],"recent":[7],"years,":[8],"due":[9],"to":[10,39,128,146,157,162,204],"the":[11,19,22,40,43,77,93,96,101,115,119,124,130,135,140,148,155,158,172,192,196],"simplicity":[12],"of":[13,21,42,95,98,121,134,154],"its":[14,47],"implementation":[15],"as":[16,18,161],"well":[17],"performance":[20],"method,":[23],"comparison":[25],"with":[26,85,177],"other":[27],"ones.":[29],"But":[30],"many":[31],"studies":[32],"show":[33,190],"that":[34,75,191],"results":[36,189],"are":[37,106],"sensitive":[38,64],"selection":[41],"similarity":[44,65,78,116],"graph":[45,72],"and":[46,53,151,174,200],"parameters,":[48],"e.g.":[49],"[Formula:":[50,54],"see":[51,55],"text]":[52],"text].":[56],"To":[57],"address":[58],"this":[59],"issue,":[60],"inspired":[61],"by":[62],"density":[63,83,103,126],"measure,":[66],"we":[67,143],"propose":[68],"an":[69],"improved":[70],"spectral":[71,197],"method":[74,112,194],"utilizes":[76],"measure":[79],"based":[80,183],"on":[81,171,184],"data":[82,99,122],"combined":[84],"DNA":[86],"genetic":[87],"algorithms":[88],"(ISC-DNA-GA),":[89],"making":[90],"it":[91,201],"increase":[92],"distance":[94],"pairs":[97,120],"high":[102],"areas,":[104],"which":[105],"located":[107],"different":[109],"spaces.":[110],"The":[111,188],"can":[113],"reduce":[114],"degree":[117],"among":[118],"same":[125],"region":[127],"find":[129],"spatial":[131],"distribution":[132],"characteristics":[133],"complex":[136],"data.":[137],"After":[138],"computing":[139],"Laplacian":[141],"matrix,":[142],"apply":[144],"DNA-GAs":[145],"obtain":[147],"centroids":[150],"assign":[152],"all":[153],"points":[156],"centroids,":[159],"so":[160],"achieve":[163],"better":[164],"results.":[166],"Experiments":[167],"have":[168],"been":[169],"conducted":[170],"artificial":[173],"real-world":[175],"datasets":[176],"various":[178],"multi-dimensions,":[179],"using":[180],"evaluation":[181],"methods":[182],"external":[185],"criteria.":[187],"proposed":[193],"improves":[195],"quality,":[199],"is":[202],"superior":[203],"those":[205],"competing":[206],"approaches.":[207]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}