{"id":"https://openalex.org/W2130397012","doi":"https://doi.org/10.1109/ijcnn.2008.4634092","title":"A comparison of map neuron labeling approaches for unsupervised self-organizing feature maps","display_name":"A comparison of map neuron labeling approaches for unsupervised self-organizing feature maps","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2130397012","doi":"https://doi.org/10.1109/ijcnn.2008.4634092","mag":"2130397012"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4634092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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/A5082446753","display_name":"Willem S. van Heerden","orcid":"https://orcid.org/0000-0002-9736-7268"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Willem S. van Heerden","raw_affiliation_strings":["Department of Computer Science, University of Pretoria, Pretoria, South Africa","Dept. of Comput. Sci., Univ. of Pretoria, Tshwane"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pretoria, Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Univ. of Pretoria, Tshwane","institution_ids":["https://openalex.org/I69552723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039197997","display_name":"Andries P. Engelbrecht","orcid":"https://orcid.org/0000-0002-0242-3539"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Andries P. Engelbrecht","raw_affiliation_strings":["Department of Computer Science, University of Pretoria, Pretoria, South Africa","Dept. of Comput. Sci., Univ. of Pretoria, Tshwane"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pretoria, Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Univ. of Pretoria, Tshwane","institution_ids":["https://openalex.org/I69552723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082446753"],"corresponding_institution_ids":["https://openalex.org/I69552723"],"apc_list":null,"apc_paid":null,"fwci":0.5904,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79597231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2139","last_page":"2146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9675999879837036,"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"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9577999711036682,"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/self-organizing-map","display_name":"Self-organizing map","score":0.8040368556976318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7991975545883179},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6690168976783752},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.6605199575424194},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5374966263771057},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5162113308906555},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4981849193572998},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49788784980773926},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4756443202495575},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4320371747016907},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.42867618799209595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41606220602989197},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3414497375488281},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06328961253166199}],"concepts":[{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.8040368556976318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991975545883179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6690168976783752},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.6605199575424194},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5374966263771057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5162113308906555},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4981849193572998},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49788784980773926},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4756443202495575},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4320371747016907},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.42867618799209595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41606220602989197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3414497375488281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06328961253166199},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/ijcnn.2008.4634092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W45948310","https://openalex.org/W65738273","https://openalex.org/W184146622","https://openalex.org/W1480589851","https://openalex.org/W1524674157","https://openalex.org/W1545214528","https://openalex.org/W1598201578","https://openalex.org/W1600704669","https://openalex.org/W1763923218","https://openalex.org/W1991848143","https://openalex.org/W1992419399","https://openalex.org/W2016381774","https://openalex.org/W2040302261","https://openalex.org/W2042351117","https://openalex.org/W2051224630","https://openalex.org/W2088709281","https://openalex.org/W2110802877","https://openalex.org/W2124776405","https://openalex.org/W2125478079","https://openalex.org/W2127218421","https://openalex.org/W2138426500","https://openalex.org/W2142333314","https://openalex.org/W2142852781","https://openalex.org/W2166806817","https://openalex.org/W2170120409","https://openalex.org/W2285257517","https://openalex.org/W2509790245","https://openalex.org/W2729095079","https://openalex.org/W3009784374","https://openalex.org/W3036192984","https://openalex.org/W3036846224","https://openalex.org/W3112020351","https://openalex.org/W4245176872","https://openalex.org/W4254739508","https://openalex.org/W4285719527","https://openalex.org/W6601879508","https://openalex.org/W6607500045","https://openalex.org/W6678534278","https://openalex.org/W6681290229","https://openalex.org/W6684837874","https://openalex.org/W6740583540","https://openalex.org/W6779887223"],"related_works":["https://openalex.org/W2034551444","https://openalex.org/W2023416609","https://openalex.org/W2051216975","https://openalex.org/W2982550593","https://openalex.org/W1844640764","https://openalex.org/W2144077772","https://openalex.org/W150043153","https://openalex.org/W2482164254","https://openalex.org/W2105758207","https://openalex.org/W1537079663"],"abstract_inverted_index":{"The":[0],"self-organizing":[1],"map":[2,79],"(SOM)":[3],"is":[4,60,70],"an":[5,53],"unsupervised":[6,120],"neural":[7],"network":[8],"approach":[9],"that":[10,37],"reduces":[11],"a":[12,17,26,75],"high-dimensional":[13],"data":[14,49,129],"set":[15],"to":[16,41],"representative":[18],"and":[19,43,48,94,100],"compact":[20],"two-dimensional":[21],"grid.":[22],"In":[23],"so":[24],"doing,":[25],"SOM":[27,58],"reveals":[28],"emergent":[29,66],"clusters":[30],"within":[31],"the":[32,61,64,88,91,98,111],"data.":[33],"Research":[34],"has":[35],"shown":[36],"SOMs":[38,121],"lend":[39],"themselves":[40],"visual":[42],"computational":[44],"analysis":[45],"for":[46,56,87,118,124],"exploratory":[47],"mining":[50],"purposes.":[51],"However,":[52],"important":[54],"requirement":[55],"many":[57],"interpretations":[59],"characterization":[62],"of":[63,90,97,113,127],"mappsilas":[65],"clusters.":[67],"This":[68,83],"process":[69],"often":[71],"addressed":[72],"by":[73],"either":[74],"manual":[76],"or":[77],"automated":[78,115],"neuron":[80],"labeling":[81,89,116],"approach.":[82],"paper":[84],"discusses":[85],"techniques":[86],"unsupervised,":[92],"supervised":[93],"semi-supervised":[95],"variants":[96],"SOM,":[99],"proposes":[101],"some":[102],"new":[103],"methods.":[104],"It":[105],"also":[106],"presents":[107],"empirical":[108],"results":[109],"characterizing":[110],"performance":[112],"two":[114],"approaches":[117],"fully":[119],"when":[122],"applied":[123],"example":[125],"classification":[126],"experimental":[128],"sets.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}