{"id":"https://openalex.org/W1553333136","doi":"https://doi.org/10.1109/icdm.2003.1250905","title":"A dynamic adaptive self-organising hybrid model for text clustering","display_name":"A dynamic adaptive self-organising hybrid model for text clustering","publication_year":2004,"publication_date":"2004-04-23","ids":{"openalex":"https://openalex.org/W1553333136","doi":"https://doi.org/10.1109/icdm.2003.1250905","mag":"1553333136"},"language":"en","primary_location":{"id":"doi:10.1109/icdm.2003.1250905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2003.1250905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Third IEEE International Conference on Data Mining","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/A5082509441","display_name":"Chihli Hung","orcid":"https://orcid.org/0000-0002-8061-4410"},"institutions":[{"id":"https://openalex.org/I5728261","display_name":"University of Sunderland","ror":"https://ror.org/04p55hr04","country_code":"GB","type":"education","lineage":["https://openalex.org/I5728261"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"C. Hung","raw_affiliation_strings":["School of Computer and Technology, University of Sunderland, UK","Centre for Hybrid Intelligent Syst., Univ. of Sunderland, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Technology, University of Sunderland, UK","institution_ids":["https://openalex.org/I5728261"]},{"raw_affiliation_string":"Centre for Hybrid Intelligent Syst., Univ. of Sunderland, UK","institution_ids":["https://openalex.org/I5728261"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033486668","display_name":"Stefan Wermter","orcid":"https://orcid.org/0000-0003-1343-4775"},"institutions":[{"id":"https://openalex.org/I5728261","display_name":"University of Sunderland","ror":"https://ror.org/04p55hr04","country_code":"GB","type":"education","lineage":["https://openalex.org/I5728261"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"S. Wermter","raw_affiliation_strings":["School of Computer and Technology, University of Sunderland, UK","Centre for Hybrid Intelligent Syst., Univ. of Sunderland, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Technology, University of Sunderland, UK","institution_ids":["https://openalex.org/I5728261"]},{"raw_affiliation_string":"Centre for Hybrid Intelligent Syst., Univ. of Sunderland, UK","institution_ids":["https://openalex.org/I5728261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.2522,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.97678925,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991000294685364,"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/T10320","display_name":"Neural Networks and Applications","score":0.9991000294685364,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9714000225067139,"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/computer-science","display_name":"Computer science","score":0.8074064254760742},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7468491196632385},{"id":"https://openalex.org/keywords/dash","display_name":"Dash","score":0.6086419820785522},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5431808829307556},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5167533755302429},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5078039765357971},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.45624035596847534},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43572965264320374},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4254003167152405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4182100296020508},{"id":"https://openalex.org/keywords/dynamic-data","display_name":"Dynamic data","score":0.4101477265357971},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0939907431602478},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07697474956512451}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8074064254760742},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7468491196632385},{"id":"https://openalex.org/C2776090536","wikidata":"https://www.wikidata.org/wiki/Q187819","display_name":"Dash","level":2,"score":0.6086419820785522},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5431808829307556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5167533755302429},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5078039765357971},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.45624035596847534},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43572965264320374},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4254003167152405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4182100296020508},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.4101477265357971},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0939907431602478},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07697474956512451},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdm.2003.1250905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2003.1250905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Third IEEE International Conference on Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.11.2111","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.2111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.his.sunderland.ac.uk/ps/hungc_clustering.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W23758216","https://openalex.org/W45847099","https://openalex.org/W191422183","https://openalex.org/W1560851313","https://openalex.org/W1679913846","https://openalex.org/W1833785989","https://openalex.org/W1967011375","https://openalex.org/W1978394996","https://openalex.org/W1991848143","https://openalex.org/W2006493416","https://openalex.org/W2007278710","https://openalex.org/W2010150441","https://openalex.org/W2046372172","https://openalex.org/W2112511705","https://openalex.org/W2122473047","https://openalex.org/W2131708737","https://openalex.org/W2138754805","https://openalex.org/W2150811404","https://openalex.org/W2157886637","https://openalex.org/W2162161511","https://openalex.org/W2168701898","https://openalex.org/W2170973969","https://openalex.org/W3036512766","https://openalex.org/W4245176872","https://openalex.org/W6601848773","https://openalex.org/W6607711225","https://openalex.org/W6680294583"],"related_works":["https://openalex.org/W1603294850","https://openalex.org/W3123507829","https://openalex.org/W1558801379","https://openalex.org/W2361827796","https://openalex.org/W4376486551","https://openalex.org/W3172060415","https://openalex.org/W2290529631","https://openalex.org/W2603355878","https://openalex.org/W2611311248","https://openalex.org/W1971084186"],"abstract_inverted_index":{"Clustering":[0],"by":[1,75,81,136],"document":[2],"concepts":[3],"is":[4,89,100],"a":[5,12,35,54,90,95,108,137],"powerful":[6],"way":[7],"of":[8,15,51,111],"retrieving":[9],"information":[10],"from":[11],"large":[13],"number":[14],"documents.":[16],"This":[17],"task":[18,32],"in":[19],"general":[20],"does":[21],"not":[22,73],"make":[23],"any":[24],"assumption":[25],"on":[26],"the":[27,42,121,126,132],"data":[28,60,123,128,134],"distribution.":[29],"For":[30],"this":[31],"we":[33],"propose":[34],"new":[36,109],"competitive":[37,96],"self-organising":[38,45,112],"(SOM)":[39],"model,":[40],"namely":[41],"dynamic":[43,55,113],"adaptive":[44,83],"hybrid":[46],"model":[47,98],"(DASH).":[48],"The":[49,85],"features":[50,66],"DASH":[52,69],"are":[53,67],"structure,":[56],"hierarchical":[57,86,138],"clustering,":[58],"nonstationary":[59,127],"learning":[61],"and":[62,125,130],"parameter":[63],"self-adjustment.":[64],"All":[65],"data-oriented:":[68],"adjusts":[70],"its":[71,77],"behaviour":[72],"only":[74],"modifying":[76],"parameters":[78],"but":[79],"also":[80],"an":[82],"structure.":[84],"growing":[87,114],"architecture":[88],"useful":[91],"facility":[92],"for":[93,102],"such":[94],"neural":[97,115],"which":[99,117],"designed":[101],"text":[103],"clustering.":[104],"We":[105],"have":[106],"presented":[107],"type":[110],"network":[116],"can":[118],"deal":[119],"with":[120],"nonuniform":[122],"distribution":[124],"sets":[129],"represent":[131],"inner":[133],"structure":[135],"view.":[139]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}