{"id":"https://openalex.org/W2163057924","doi":"https://doi.org/10.1109/fuzz.2001.1009011","title":"Selecting parameter values for mahalanobis distance fuzzy classifiers","display_name":"Selecting parameter values for mahalanobis distance fuzzy classifiers","publication_year":2005,"publication_date":"2005-08-25","ids":{"openalex":"https://openalex.org/W2163057924","doi":"https://doi.org/10.1109/fuzz.2001.1009011","mag":"2163057924"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2001.1009011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2001.1009011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)","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/A5035213152","display_name":"Peter Deer","orcid":null},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"P. Deer","raw_affiliation_strings":["Knowledge, Visualization and Ordering Laboratory, Griffith University, Gold Coast, Australia"],"affiliations":[{"raw_affiliation_string":"Knowledge, Visualization and Ordering Laboratory, Griffith University, Gold Coast, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071084001","display_name":"Peter Eklund","orcid":"https://orcid.org/0000-0003-2313-8603"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"P. Eklund","raw_affiliation_strings":["Knowledge, Visualization and Ordering Laboratory, Griffith University, Gold Coast, Australia"],"affiliations":[{"raw_affiliation_string":"Knowledge, Visualization and Ordering Laboratory, Griffith University, Gold Coast, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035213152"],"corresponding_institution_ids":["https://openalex.org/I11701301"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16268959,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"541","last_page":"544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9975000023841858,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9975000023841858,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9894000291824341,"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/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.7635790109634399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6413400769233704},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6340296268463135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6266028881072998},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5843719244003296},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5685636401176453},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5587316751480103},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.5168067216873169},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5077060461044312},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.48325949907302856},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4571641683578491},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4511498808860779},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.435048371553421},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41220247745513916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3789953887462616}],"concepts":[{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.7635790109634399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6413400769233704},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6340296268463135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6266028881072998},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5843719244003296},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5685636401176453},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5587316751480103},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5168067216873169},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5077060461044312},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.48325949907302856},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4571641683578491},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4511498808860779},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.435048371553421},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41220247745513916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3789953887462616},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/fuzz.2001.1009011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2001.1009011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30127456","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/9217","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/9217","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1648556314","https://openalex.org/W1967329996","https://openalex.org/W1976496273","https://openalex.org/W1982952634","https://openalex.org/W1995450389","https://openalex.org/W2081935566","https://openalex.org/W2087176239","https://openalex.org/W2128637637","https://openalex.org/W2150579465","https://openalex.org/W2156325827","https://openalex.org/W2267362924","https://openalex.org/W2461812122"],"related_works":["https://openalex.org/W3001402564","https://openalex.org/W2166637398","https://openalex.org/W1486684451","https://openalex.org/W2087021805","https://openalex.org/W2374152511","https://openalex.org/W2066929655","https://openalex.org/W4312800262","https://openalex.org/W2756644388","https://openalex.org/W2142453121","https://openalex.org/W1487720066"],"abstract_inverted_index":{"The":[0],"fuzzy":[1,21,30,36],"c-means":[2],"clustering":[3],"algorithm,":[4],"and":[5],"a":[6,12,16,47],"related":[7],"supervised":[8],"classifier,":[9],"require":[10],"the":[11,20,33,43],"priori":[13],"selection":[14],"of":[15,28,46],"weighting":[17],"parameter":[18],"called":[19],"exponent.":[22],"This":[23],"paper":[24],"investigates":[25],"suitable":[26],"values":[27],"this":[29],"exponent":[31],"using":[32],"criterion":[34],"that":[35],"set":[37],"memberships":[38],"reflect":[39],"class":[40],"proportions":[41],"in":[42],"mixed":[44],"pixels":[45],"remotely":[48],"sensed":[49],"image.":[50]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
