{"id":"https://openalex.org/W2139586342","doi":"https://doi.org/10.1109/icmlc.2006.258560","title":"A New Clustering Method Based on References, Density and Neural Network","display_name":"A New Clustering Method Based on References, Density and Neural Network","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2139586342","doi":"https://doi.org/10.1109/icmlc.2006.258560","mag":"2139586342"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2006.258560","doi":"https://doi.org/10.1109/icmlc.2006.258560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2006.258560","pdf_url":null,"source":{"id":"https://openalex.org/S4306419646","display_name":"International Conference on Machine Learning and Cybernetics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"volume":null,"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/A5005879300","display_name":"Hong-tu Gou","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-tu Gou","raw_affiliation_strings":["School of Management, Tianjin University, TJU, TianJin, China","School of Management, TianJin University, TianJin 300072, China. E-MAIL: xwqgood1@163.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Tianjin University, TJU, TianJin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Management, TianJin University, TianJin 300072, China. E-MAIL: xwqgood1@163.com","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100880439","display_name":"Jian-Suo Xu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-suo Xu","raw_affiliation_strings":["School of Management and Economy, Henan Normal University, Xinxiang, China","School of Management and Economy, Henan Normal University, Xinxiang, 453007, China. E-MAIL: xwqgood1@163.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management and Economy, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]},{"raw_affiliation_string":"School of Management and Economy, Henan Normal University, Xinxiang, 453007, China. E-MAIL: xwqgood1@163.com","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"last","author":{"id":null,"display_name":"Li Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["School of Computer, Anshan University of Science and Technology, AnShan, China","School of Computer, AnShan University of Science & Technology, AnShan China 114044, China. E-MAIL: xwqgood1@163.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Anshan University of Science and Technology, AnShan, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer, AnShan University of Science & Technology, AnShan China 114044, China. E-MAIL: xwqgood1@163.com","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.20354373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1060","last_page":"1065"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":1.0,"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":1.0,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.0,"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/clustering-algorithms","display_name":"clustering algorithms","score":0.7799999713897705},{"id":"https://openalex.org/keywords/density-based-clustering","display_name":"density-based clustering","score":0.9150000214576721},{"id":"https://openalex.org/keywords/reference-points","display_name":"reference points","score":0.6399999856948853},{"id":"https://openalex.org/keywords/cluster-shape","display_name":"cluster shape","score":0.6389999985694885},{"id":"https://openalex.org/keywords/arbitrary-shaped-clusters","display_name":"arbitrary-shaped clusters","score":0.7059999704360962},{"id":"https://openalex.org/keywords/noise-immunity","display_name":"noise immunity","score":0.9160000085830688},{"id":"https://openalex.org/keywords/visual-clustering","display_name":"visual clustering","score":0.7509999871253967},{"id":"https://openalex.org/keywords/neural-network-clustering","display_name":"neural network clustering","score":0.6880000233650208}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8979384303092957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7174333333969116},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5937696099281311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.523060142993927},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5059463381767273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5058972239494324},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4634554088115692},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.43957090377807617},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4280622601509094},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4246545433998108},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4102504253387451},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3205539584159851},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20681816339492798},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2006.258560","doi":"https://doi.org/10.1109/icmlc.2006.258560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2006.258560","pdf_url":null,"source":{"id":"https://openalex.org/S4306419646","display_name":"International Conference on Machine Learning and Cybernetics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322701","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1547087636","https://openalex.org/W1679913846","https://openalex.org/W1992419399","https://openalex.org/W1996510517","https://openalex.org/W2057712948","https://openalex.org/W2076552121","https://openalex.org/W2099581008","https://openalex.org/W2101938621","https://openalex.org/W2135962014","https://openalex.org/W2407272972"],"related_works":["https://openalex.org/W3022637481","https://openalex.org/W3144143113","https://openalex.org/W3120229345","https://openalex.org/W1999117613","https://openalex.org/W2393816671","https://openalex.org/W3039964395","https://openalex.org/W2596632494","https://openalex.org/W4224807364","https://openalex.org/W4312412183","https://openalex.org/W4292434959"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,44,71],"new":[4],"clustering":[5,25,63,73],"algorithm":[6],"that":[7,82],"is":[8,18,37,91,100],"called":[9],"RDVS":[10,36,57,83],"(clustering":[11],"using":[12],"references":[13,47],"and":[14,41,48,51,67,78,90,96],"density":[15,29],"by":[16,46,55],"ViSOM)":[17],"presented":[19],"to":[20,93],"overcome":[21],"the":[22,39,59],"shortcomings":[23],"of":[24,35,43,61],"methods":[26],"based":[27],"on":[28],"or":[30],"neural":[31],"network.":[32],"The":[33],"creativity":[34],"capturing":[38],"shape":[40,89],"extent":[42],"cluster":[45],"their":[49],"densities,":[50],"then":[52],"analyzes":[53],"them":[54],"ViSOM.":[56],"keeps":[58],"ability":[60],"density-based":[62],"method's":[64],"good":[65],"features":[66],"it":[68],"can":[69,84],"give":[70],"visual":[72],"results.":[74],"Both":[75],"theory":[76],"analysis":[77],"experimental":[79],"results":[80],"confirm":[81],"discover":[85],"clusters":[86],"with":[87],"arbitrary":[88],"insensitive":[92],"noise":[94],"data,":[95],"its":[97],"executing":[98],"efficiency":[99],"much":[101],"higher":[102],"than":[103],"ViSOM":[104]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}