{"id":"https://openalex.org/W2099778915","doi":"https://doi.org/10.1109/ijcnn.2004.1380150","title":"A constructive unsupervised learning algorithm for clustering binary patterns","display_name":"A constructive unsupervised learning algorithm for clustering binary patterns","publication_year":2005,"publication_date":"2005-04-05","ids":{"openalex":"https://openalex.org/W2099778915","doi":"https://doi.org/10.1109/ijcnn.2004.1380150","mag":"2099778915"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1380150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","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/A5100401420","display_name":"Di Wang","orcid":"https://orcid.org/0000-0002-3171-4001"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Di Wang","raw_affiliation_strings":["School of Computing Engineering, Nanyang Technological University, Singapore","Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computing Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063657461","display_name":"Narendra S. Chaudhari","orcid":"https://orcid.org/0000-0003-3018-400X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"N.S. Chaudhari","raw_affiliation_strings":["School of Computing Engineering, Nanyang Technological University, Singapore","Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computing Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049913930","display_name":"Jagdish C. Patra","orcid":"https://orcid.org/0000-0002-6257-0469"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"J.C. Patra","raw_affiliation_strings":["School of Computing Engineering, Nanyang Technological University, Singapore","Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computing Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100401420"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.755,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87137586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1381","last_page":"1385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"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":0.9990000128746033,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9426000118255615,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9359999895095825,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/unsupervised-learning","display_name":"Unsupervised learning","score":0.7802088856697083},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7779567241668701},{"id":"https://openalex.org/keywords/constructive","display_name":"Constructive","score":0.7117935419082642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6859060525894165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.603618323802948},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5908861756324768},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.49229729175567627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47959601879119873},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4479064345359802},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.4376218914985657},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.43451380729675293},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3230951428413391},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24523380398750305},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.2312297224998474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22086074948310852}],"concepts":[{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.7802088856697083},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7779567241668701},{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.7117935419082642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6859060525894165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.603618323802948},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5908861756324768},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.49229729175567627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47959601879119873},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4479064345359802},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.4376218914985657},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.43451380729675293},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3230951428413391},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24523380398750305},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2312297224998474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22086074948310852},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2004.1380150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:8d625f23-f8be-418d-bebb-b477d2ea0fc9/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/385702","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks, Budapest, Hungary, 25-29 July 2004, Vol. 2, pp. 1381-1385","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1580004016","https://openalex.org/W1992600518","https://openalex.org/W2018212615","https://openalex.org/W2067719469","https://openalex.org/W2109384219","https://openalex.org/W2125607078","https://openalex.org/W2134063109","https://openalex.org/W2139837751","https://openalex.org/W2150690754","https://openalex.org/W2389356402"],"related_works":["https://openalex.org/W2160366419","https://openalex.org/W2590565095","https://openalex.org/W2149471286","https://openalex.org/W2112235833","https://openalex.org/W2112751893","https://openalex.org/W2011664814","https://openalex.org/W2096837800","https://openalex.org/W1950019275","https://openalex.org/W2910555889","https://openalex.org/W2055870375"],"abstract_inverted_index":{"We":[0,25,59],"propose":[1],"a":[2,44,49],"constructive":[3],"unsupervised":[4,75],"learning":[5,37],"algorithm":[6],"(CULA)":[7],"for":[8],"Boolean":[9],"neural":[10,23],"networks":[11],"based":[12],"on":[13],"geometrical":[14,53],"expansion.":[15],"CULA":[16,33,61],"constructs":[17],"two-layered":[18],"(input":[19],"and":[20,72],"output":[21,27],"layer)":[22],"networks.":[24],"visualize":[26],"neurons":[28],"in":[29,35,66,83],"terms":[30],"of":[31,69],"hyperspheres.":[32],"results":[34],"fast":[36],"because":[38],"it":[39],"determines":[40],"whether":[41],"to":[42,48],"add":[43],"new":[45],"coming":[46],"vertex":[47],"neuron":[50],"by":[51,56,62,79],"its":[52],"location,":[54],"not":[55],"iterant":[57],"computation.":[58],"illustrate":[60],"using":[63],"101":[64],"instances":[65],"zoo":[67,85],"database":[68],"Richard":[70],"Forsyth,":[71],"compare":[73],"our":[74],"clustering":[76,78],"with":[77],"biological":[80],"experts":[81],"given":[82],"the":[84],"database.":[86]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}