{"id":"https://openalex.org/W2127026060","doi":"https://doi.org/10.1109/fuzz.2003.1206536","title":"Selection of structure preserving features with neural networks","display_name":"Selection of structure preserving features with neural networks","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W2127026060","doi":"https://doi.org/10.1109/fuzz.2003.1206536","mag":"2127026060"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2003.1206536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1206536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","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/A5011859458","display_name":"S. Chakraborty","orcid":"https://orcid.org/0009-0001-6811-9804"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S. Chakraborty","raw_affiliation_strings":["Interra Inf. Technol. Pvt. Ltd., Calcutta, India"],"affiliations":[{"raw_affiliation_string":"Interra Inf. Technol. Pvt. Ltd., Calcutta, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103224090","display_name":"Nikhil R. Pal","orcid":"https://orcid.org/0000-0001-6935-901X"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N.R. Pal","raw_affiliation_strings":["Electronics and Communication Sciences Unit, Indian Statistical Institute, Calcutta, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Sciences Unit, Indian Statistical Institute, Calcutta, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011859458"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12557721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"822","last_page":"827"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9983999729156494,"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":0.9962999820709229,"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/computer-science","display_name":"Computer science","score":0.7324524521827698},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7104768753051758},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.6414783000946045},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6228951215744019},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6077420711517334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6070243120193481},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5728912353515625},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5429056286811829},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4808829128742218},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.48027515411376953},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47714826464653015},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47038379311561584},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4582781493663788},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3396874964237213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17541608214378357}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324524521827698},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7104768753051758},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.6414783000946045},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6228951215744019},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6077420711517334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6070243120193481},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5728912353515625},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5429056286811829},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4808829128742218},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.48027515411376953},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47714826464653015},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47038379311561584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4582781493663788},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3396874964237213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17541608214378357},{"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/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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz.2003.1206536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1206536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","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":19,"referenced_works":["https://openalex.org/W113230244","https://openalex.org/W1508853606","https://openalex.org/W1521952524","https://openalex.org/W1942764728","https://openalex.org/W2002645541","https://openalex.org/W2051885135","https://openalex.org/W2073308541","https://openalex.org/W2095960106","https://openalex.org/W2096046065","https://openalex.org/W2106764995","https://openalex.org/W2119689447","https://openalex.org/W2134312057","https://openalex.org/W2148394752","https://openalex.org/W2151660600","https://openalex.org/W2277957941","https://openalex.org/W4234536190","https://openalex.org/W6604582312","https://openalex.org/W6677786031","https://openalex.org/W6694665639"],"related_works":["https://openalex.org/W2912321008","https://openalex.org/W1998607122","https://openalex.org/W2324368075","https://openalex.org/W2972124131","https://openalex.org/W338149487","https://openalex.org/W2972032537","https://openalex.org/W150363521","https://openalex.org/W3154107650","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"We":[0,66],"propose":[1,67],"a":[2,10,46],"neural":[3],"network":[4,18,33],"for":[5],"selection":[6],"of":[7,24,59,74,81,103],"features.":[8],"Given":[9],"data":[11,76,90,105],"set":[12],"X":[13],"in":[14,28,61,106],"p":[15],"dimension,":[16],"the":[17,21,37,51,57,62,75,79,82,96,104,107],"can":[19,98],"select":[20],"best":[22],"subset":[23],"q":[25],"(q<p)":[26],"features":[27],"an":[29],"unsupervised":[30],"manner.":[31],"The":[32,84],"attempts":[34],"to":[35,49,77],"preserve":[36,99],"inter-point":[38],"distances,":[39],"as":[40,54,56],"represented":[41],"by":[42],"Sammon's":[43],"error.":[44],"Such":[45],"scheme":[47],"tries":[48],"maintain":[50],"cluster":[52],"structure":[53],"well":[55],"performance":[58,80],"classifiers":[60],"reduced":[63,108],"feature":[64],"space.":[65],"three":[68,71],"methods":[69],"representing":[70],"different":[72,100],"characteristics":[73],"evaluate":[78],"net.":[83],"net":[85,97],"is":[86],"tested":[87],"on":[88],"several":[89],"sets.":[91],"Experimental":[92],"results":[93],"show":[94],"that":[95],"important":[101],"properties":[102],"dimension.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
