{"id":"https://openalex.org/W2152616162","doi":"https://doi.org/10.1109/ijcnn.2004.1379860","title":"A self-organized growing network for on-line unsupervised learning","display_name":"A self-organized growing network for on-line unsupervised learning","publication_year":2005,"publication_date":"2005-02-22","ids":{"openalex":"https://openalex.org/W2152616162","doi":"https://doi.org/10.1109/ijcnn.2004.1379860","mag":"2152616162"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1379860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1379860","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":"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":null,"display_name":"S. Furao","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Furao","raw_affiliation_strings":["Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113788579","display_name":"Osamu Hasegawa","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I4210086780","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19","country_code":"JP","type":"government","lineage":["https://openalex.org/I1319490839","https://openalex.org/I4210086780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"O. Hasegawa","raw_affiliation_strings":["Imaging Science and Engineering Laboratory, Japan Science and Technology Agency, Tokyo Institute of Technology, Japan","PRESTO, Japan Science and Technology Agency, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging Science and Engineering Laboratory, Japan Science and Technology Agency, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698","https://openalex.org/I4210086780"]},{"raw_affiliation_string":"PRESTO, Japan Science and Technology Agency, Japan","institution_ids":["https://openalex.org/I4210086780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9757000207901001,"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":0.9537000060081482,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.8763152360916138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.714187502861023},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.6313120126724243},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5900933742523193},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.573504626750946},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5617966651916504},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5451527833938599},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.5077775120735168},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5061354041099548},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.48535290360450745},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.47523072361946106},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4646989703178406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45828503370285034},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4534277617931366},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3726276159286499},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3582763075828552},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27249622344970703},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17946428060531616}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.8763152360916138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714187502861023},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.6313120126724243},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5900933742523193},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.573504626750946},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5617966651916504},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5451527833938599},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.5077775120735168},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5061354041099548},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.48535290360450745},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.47523072361946106},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4646989703178406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45828503370285034},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4534277617931366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3726276159286499},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3582763075828552},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27249622344970703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17946428060531616},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn.2004.1379860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1379860","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:CiteSeerX.psu:10.1.1.129.5406","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.5406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.isl.titech.ac.jp/~hasegawalab/papers/shen_ijcnn_2004.pdf","raw_type":"text"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:00104213","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100498930","pdf_url":null,"source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W1509521638","https://openalex.org/W1560851313","https://openalex.org/W1992419399","https://openalex.org/W1996510517","https://openalex.org/W2010150441","https://openalex.org/W2018851907","https://openalex.org/W2038994994","https://openalex.org/W2090934479","https://openalex.org/W2095897464","https://openalex.org/W2106304233","https://openalex.org/W2112796159","https://openalex.org/W2138754805","https://openalex.org/W2140405352","https://openalex.org/W2166322089","https://openalex.org/W3145217144","https://openalex.org/W4231029117","https://openalex.org/W6630330134","https://openalex.org/W6633708292","https://openalex.org/W6680294583"],"related_works":["https://openalex.org/W2160366419","https://openalex.org/W2590565095","https://openalex.org/W2149471286","https://openalex.org/W1548813010","https://openalex.org/W2027409595","https://openalex.org/W2112235833","https://openalex.org/W2096837800","https://openalex.org/W1950019275","https://openalex.org/W2910555889","https://openalex.org/W2129759533"],"abstract_inverted_index":{"An":[0],"on-line":[1,39,115],"unsupervised":[2,114],"learning":[3],"mechanism":[4],"is":[5,11,28],"proposed":[6],"for":[7,72,105],"unlabeled":[8],"data":[9,41],"which":[10],"polluted":[12],"by":[13],"noises.":[14],"By":[15],"using":[16],"a":[17,46,63,69,142],"similarity":[18],"threshold":[19],"and":[20,33,87,123],"local":[21],"error":[22],"based":[23],"insertion":[24],"criterion,":[25],"the":[26,56,82,90,93,110,118],"system":[27,53,107],"able":[29],"to":[30,34,54,61,108],"grow":[31],"incrementally":[32],"accommodate":[35],"input":[36,94],"patterns":[37,127],"of":[38,45,58,68,98,113,121,128,139],"non-stationary":[40],"distribution.":[42],"The":[43,66,96],"definition":[44],"utility":[47],"parameter":[48],"-":[49],"\"error-radius\"":[50],"enables":[51],"this":[52,106],"learn":[55],"number":[57,120,138],"nodes":[59,74,140],"needed":[60],"solve":[62],"current":[64],"task.":[65],"usage":[67],"new":[70],"technique":[71],"removing":[73],"in":[75,92],"low":[76],"probability":[77],"density":[78],"regions":[79],"can":[80],"separate":[81],"clusters":[83,122],"with":[84],"low-density":[85],"overlaps":[86],"dynamically":[88],"eliminate":[89],"noise":[91],"data.":[95],"design":[97],"two-layer":[99],"neural":[100],"network":[101],"makes":[102],"it":[103],"possible":[104],"represent":[109],"topological":[111],"structure":[112],"data,":[116],"report":[117],"reasonable":[119],"give":[124],"typical":[125],"prototype":[126],"every":[129],"cluster":[130],"without":[131],"any":[132],"priori":[133],"conditions":[134],"such":[135],"as":[136],"suitable":[137],"or":[141],"good":[143],"initial":[144],"codebook.":[145]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}