{"id":"https://openalex.org/W2546085916","doi":"https://doi.org/10.1109/nnsp.2003.1318081","title":"SOM-based similarity index measure: quantifying interactions between multivariate structures","display_name":"SOM-based similarity index measure: quantifying interactions between multivariate structures","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2546085916","doi":"https://doi.org/10.1109/nnsp.2003.1318081","mag":"2546085916"},"language":"en","primary_location":{"id":"doi:10.1109/nnsp.2003.1318081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nnsp.2003.1318081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718)","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/A5061746347","display_name":"A. Hegde","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. Hegde","raw_affiliation_strings":["Computational NeuroEngineering Laboratory, Electrical & Computer E&inee&g Department, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Laboratory, Electrical & Computer E&inee&g Department, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083261801","display_name":"Deniz Erdo\u011fmu\u015f","orcid":"https://orcid.org/0000-0002-1114-3539"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Erdogmus","raw_affiliation_strings":["Computational NeuroEngineering Laboratory, Electrical & Computer E&inee&g Department, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Laboratory, Electrical & Computer E&inee&g Department, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113349896","display_name":"Y.N. Rao","orcid":"https://orcid.org/0009-0007-0238-8837"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y.N. Rao","raw_affiliation_strings":["Computational NeuroEngineering Laboratory, Electrical & Computer E&inee&g Department, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Laboratory, Electrical & Computer E&inee&g Department, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019504861","display_name":"Jos\u00e9 C. Pr\u0131\u0301ncipe","orcid":"https://orcid.org/0000-0002-3449-3531"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.C. Principe","raw_affiliation_strings":["Computational NeuroEngineering Laboratory, Electrical & Computer E&inee&g Department, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Laboratory, Electrical & Computer E&inee&g Department, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052735725","display_name":"Jianbo Gao","orcid":"https://orcid.org/0000-0002-8832-5664"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Gao","raw_affiliation_strings":["Computational NeuroEngineering Laboratory, Electrical & Computer E&inee&g Department, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Laboratory, Electrical & Computer E&inee&g Department, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061746347"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":1.0161,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77905237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"85","issue":null,"first_page":"819","last_page":"828"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.697741687297821},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6814026236534119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6461610794067383},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.600186288356781},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5968180298805237},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.582324743270874},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5778596997261047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5615621209144592},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5302488207817078},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5104786157608032},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2798888683319092},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06815460324287415}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.697741687297821},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6814026236534119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6461610794067383},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.600186288356781},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5968180298805237},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.582324743270874},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5778596997261047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5615621209144592},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5302488207817078},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5104786157608032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2798888683319092},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06815460324287415},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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":2,"locations":[{"id":"doi:10.1109/nnsp.2003.1318081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nnsp.2003.1318081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.641.6460","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.641.6460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cnel.ufl.edu/files/1062788755.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W282155574","https://openalex.org/W1493764583","https://openalex.org/W1594370780","https://openalex.org/W1964769652","https://openalex.org/W1972936364","https://openalex.org/W1991439089","https://openalex.org/W2022537188","https://openalex.org/W2037181055","https://openalex.org/W2099593264","https://openalex.org/W2100693443","https://openalex.org/W2115810652","https://openalex.org/W2124776405","https://openalex.org/W2136562407","https://openalex.org/W2157016812","https://openalex.org/W2157680269","https://openalex.org/W2285257517","https://openalex.org/W3102008707","https://openalex.org/W6610213205","https://openalex.org/W6678851513"],"related_works":["https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W1983228818","https://openalex.org/W2163064108","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W2767257176","https://openalex.org/W2915154372","https://openalex.org/W1940044583","https://openalex.org/W1605984447"],"abstract_inverted_index":{"This":[0],"work":[1],"addresses":[2],"the":[3,32,35,40,56,60,67,85,94],"issue":[4],"of":[5,34,37,59,62],"quantifying":[6],"asymmetric":[7],"functional":[8],"relationships":[9],"between":[10],"signals.":[11,41],"We":[12],"specifically":[13],"consider":[14],"a":[15,48],"previously":[16],"proposed":[17],"similarity":[18,68,98],"index":[19,69,99],"that":[20,51],"is":[21,52,64,76],"conceptually":[22],"powerful,":[23],"yet":[24],"computationally":[25,80],"very":[26],"expensive.":[27],"The":[28,72],"complexity":[29],"increases":[30],"with":[31],"square":[33],"number":[36],"samples":[38],"in":[39,66],"In":[42],"order":[43],"to":[44,54,84],"counter":[45],"this":[46],"difficulty,":[47],"self-organizing":[49],"map":[50],"trained":[53],"model":[55],"statistical":[57],"distribution":[58],"signals":[61],"interest":[63],"introduced":[65],"evaluation":[70],"procedure.":[71],"SOM":[73],"based":[74],"technique":[75],"equally":[77],"accurate,":[78],"but":[79],"less":[81],"expensive":[82],"compared":[83],"conventional":[86],"measure.":[87],"These":[88],"results":[89],"are":[90],"demonstrated":[91],"by":[92],"comparing":[93],"original":[95],"and":[96,105],"SOM-based":[97],"approaches":[100],"on":[101],"synthetic":[102],"chaotic":[103],"signal":[104,108],"real":[106],"EEG":[107],"mixtures.":[109]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}