{"id":"https://openalex.org/W2059208923","doi":"https://doi.org/10.1109/ic3.2013.6612180","title":"An efficient self-organizing map learning algorithm using the set of nearest neurons","display_name":"An efficient self-organizing map learning algorithm using the set of nearest neurons","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2059208923","doi":"https://doi.org/10.1109/ic3.2013.6612180","mag":"2059208923"},"language":"en","primary_location":{"id":"doi:10.1109/ic3.2013.6612180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2013.6612180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Sixth International Conference on Contemporary Computing (IC3)","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/A5002879297","display_name":"Vikas Chaudhary","orcid":"https://orcid.org/0000-0003-0604-4162"},"institutions":[{"id":"https://openalex.org/I105094715","display_name":"National Institute of Technology Kurukshetra","ror":"https://ror.org/04909p852","country_code":"IN","type":"education","lineage":["https://openalex.org/I105094715"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vikas Chaudhary","raw_affiliation_strings":["National Institute of Technology, Kurukshetra, India","National Institute of Technology  Kurukshetra India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Kurukshetra, India","institution_ids":["https://openalex.org/I105094715"]},{"raw_affiliation_string":"National Institute of Technology  Kurukshetra India","institution_ids":["https://openalex.org/I105094715"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052933367","display_name":"R. S. Bhatia","orcid":"https://orcid.org/0000-0002-5213-1809"},"institutions":[{"id":"https://openalex.org/I105094715","display_name":"National Institute of Technology Kurukshetra","ror":"https://ror.org/04909p852","country_code":"IN","type":"education","lineage":["https://openalex.org/I105094715"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. S. Bhatia","raw_affiliation_strings":["National Institute of Technology, Kurukshetra, India","National Institute of Technology  Kurukshetra India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Kurukshetra, India","institution_ids":["https://openalex.org/I105094715"]},{"raw_affiliation_string":"National Institute of Technology  Kurukshetra India","institution_ids":["https://openalex.org/I105094715"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071610141","display_name":"Anil Ahlawat","orcid":"https://orcid.org/0000-0001-5600-9360"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anil K Ahlawat","raw_affiliation_strings":["Krishna Institute of Engg. & Technology, Ghaziabad, India"],"affiliations":[{"raw_affiliation_string":"Krishna Institute of Engg. & Technology, Ghaziabad, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002879297"],"corresponding_institution_ids":["https://openalex.org/I105094715"],"apc_list":null,"apc_paid":null,"fwci":0.9618,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8218412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"5796","issue":null,"first_page":"154","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9980000257492065,"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":0.9980000257492065,"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/T12676","display_name":"Machine Learning and ELM","score":0.9944000244140625,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.993399977684021,"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/self-organizing-map","display_name":"Self-organizing map","score":0.848929762840271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7004485726356506},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6900889277458191},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5787451267242432},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5563369393348694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5183014273643494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5128958225250244},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4816385805606842},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4608224630355835},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41466689109802246},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.41029125452041626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2253846526145935}],"concepts":[{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.848929762840271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7004485726356506},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6900889277458191},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5787451267242432},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5563369393348694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5183014273643494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5128958225250244},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4816385805606842},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4608224630355835},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41466689109802246},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.41029125452041626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2253846526145935},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3.2013.6612180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2013.6612180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Sixth International Conference on Contemporary Computing (IC3)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W987629888","https://openalex.org/W1523741643","https://openalex.org/W1596914020","https://openalex.org/W1819333392","https://openalex.org/W1955291487","https://openalex.org/W1979393293","https://openalex.org/W2036092544","https://openalex.org/W2104095591","https://openalex.org/W2106160885","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2122821937","https://openalex.org/W2124244662","https://openalex.org/W2131910503","https://openalex.org/W2137602126","https://openalex.org/W2149184914","https://openalex.org/W2154943049","https://openalex.org/W2167354555","https://openalex.org/W2366213585","https://openalex.org/W6625849552","https://openalex.org/W6635924533","https://openalex.org/W6680294537"],"related_works":["https://openalex.org/W2034551444","https://openalex.org/W2023416609","https://openalex.org/W1844640764","https://openalex.org/W2051216975","https://openalex.org/W2982550593","https://openalex.org/W2090505479","https://openalex.org/W2144077772","https://openalex.org/W2978573861","https://openalex.org/W2105758207","https://openalex.org/W4251684294"],"abstract_inverted_index":{"The":[0,18,111,126],"Self-organizing":[1],"map":[2],"(SOM)":[3],"has":[4],"been":[5],"extensively":[6],"applied":[7],"to":[8,78,100,108,123],"image":[9],"analysis,":[10],"data":[11,53,81,103],"clustering,":[12],"dimension":[13],"reduction,":[14],"and":[15,25,31,54,83],"so":[16],"forth.":[17],"conventional":[19,109,124,136],"SOM":[20,46,77,89,98,113,128,137],"find":[21,55],"the":[22,27,49,56,68,85,115,135,142],"winner":[23,30,62],"neuron":[24,58,63],"update":[26],"weights":[28],"of":[29,35,61,71,87,141],"its":[32],"neighborhood":[33,60],"regardless":[34],"distance":[36,50],"from":[37,51],"input.":[38],"In":[39],"this":[40],"study,":[41],"we":[42],"propose":[43],"a":[44],"modified":[45,76,97,112,127],"which":[47],"calculate":[48],"input":[52,80,102,116,143],"nearest":[57],"among":[59],"(BMU).":[64],"It":[65],"also":[66],"calculates":[67],"winning":[69],"frequency":[70],"each":[72],"neuron.":[73],"We":[74,94],"apply":[75],"various":[79],"set":[82],"investigate":[84],"performance":[86],"both":[88],"using":[90],"three":[91],"standard":[92],"measurements.":[93],"conclude":[95],"that":[96],"reaches":[99],"all":[101],"in":[104,118,131,138],"better":[105,120,132],"way":[106,121,133],"compare":[107,122],"SOM.":[110,125],"preserves":[114],"topology":[117],"much":[119],"self":[129],"organize":[130],"than":[134],"every":[139],"corner":[140],"data.":[144]},"counts_by_year":[{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}