{"id":"https://openalex.org/W4328131320","doi":"https://doi.org/10.3233/idt-220226","title":"Fuzzy clustering based classifier for extraction of individualities from high dimension low sample size data","display_name":"Fuzzy clustering based classifier for extraction of individualities from high dimension low sample size data","publication_year":2023,"publication_date":"2023-03-21","ids":{"openalex":"https://openalex.org/W4328131320","doi":"https://doi.org/10.3233/idt-220226"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-220226","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5046294812","display_name":"Mika Sato\u2010Ilic","orcid":"https://orcid.org/0000-0003-1266-1853"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mika Sato-Ilic","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5046294812"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.856,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":77,"max":82},"biblio":{"volume":"17","issue":"1","first_page":"127","last_page":"138"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11716","display_name":"Random Matrices and Applications","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11716","display_name":"Random Matrices and Applications","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9679,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9625,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-matrix","display_name":"Data Matrix","score":0.46220183},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43497595}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.776508},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6418813},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6219473},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.61835986},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.60011214},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.54656535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.545995},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.53677535},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.53569907},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5322739},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5307645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48260415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46804047},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4649481},{"id":"https://openalex.org/C2780985081","wikidata":"https://www.wikidata.org/wiki/Q676502","display_name":"Data Matrix","level":5,"score":0.46220183},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4376524},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43497595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38366905},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37399215},{"id":"https://openalex.org/C44465124","wikidata":"https://www.wikidata.org/wiki/Q713623","display_name":"Clade","level":4,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C193252679","wikidata":"https://www.wikidata.org/wiki/Q242125","display_name":"Phylogenetic tree","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-220226","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.49,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, justice, and strong institutions","score":0.49,"id":"https://metadata.un.org/sdg/16"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":7,"referenced_works":["https://openalex.org/W1520752838","https://openalex.org/W1990368529","https://openalex.org/W2032432436","https://openalex.org/W2034655110","https://openalex.org/W2053311928","https://openalex.org/W2066459155","https://openalex.org/W4211007335"],"related_works":["https://openalex.org/W4301807105","https://openalex.org/W4293088233","https://openalex.org/W4210430843","https://openalex.org/W4205905375","https://openalex.org/W4200513283","https://openalex.org/W3176621072","https://openalex.org/W2995475466","https://openalex.org/W2496077116","https://openalex.org/W1972682526","https://openalex.org/W133792235"],"abstract_inverted_index":{"The":[0,125],"target":[1],"of":[2,17,27,49,53,58,66,98,101,112,127,137,140,146],"this":[3,64,70,128],"research":[4],"is":[5,21,34,81,130],"high":[6],"dimension":[7],"low":[8],"sample":[9],"size":[10],"(HDLSS)":[11],"data":[12,129],"in":[13],"which":[14,80],"the":[15,25,50,99,102,110,120,135,138,144],"number":[16,26],"variables":[18],"(or":[19,39],"dimensions)":[20],"much":[22],"larger":[23],"than":[24],"objects.":[28],"For":[29],"such":[30,142],"a":[31,56,75,82,96,147],"data,":[32],"it":[33],"well":[35],"known":[36],"that":[37],"mathematically":[38],"statistically),":[40],"we":[41,72],"cannot":[42,61],"obtain":[43],"correct":[44],"solutions":[45],"as":[46,143],"eigen":[47],"values":[48],"covariance":[51],"matrix":[52],"variables,":[54],"therefore,":[55],"lot":[57],"multivariate":[59],"analyses":[60],"apply":[62],"to":[63],"type":[65],"data.":[67],"To":[68],"overcome":[69],"problem,":[71],"have":[73],"proposed":[74,104],"methodology":[76],"for":[77,109,132,150],"dimensional":[78],"reduction,":[79],"fuzzy":[83,105],"cluster":[84,90,106],"scaled":[85,91,107],"principal":[86],"component":[87],"analysis":[88,126],"(fuzzy":[89],"PCA).":[92],"This":[93],"paper":[94],"presents":[95],"study":[97],"applicability":[100],"previously":[103],"PCA":[108],"discrimination":[111],"individual":[113],"subjects":[114],"observed":[115],"by":[116],"sensors":[117],"worn":[118],"on":[119],"body":[121],"during":[122],"several":[123],"activities.":[124],"useful":[131],"healthcare,":[133],"considering":[134],"individuality":[136],"history":[139],"activities,":[141],"implementation":[145],"custom-made":[148],"system":[149],"healthcare.":[151]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4328131320","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-03-21T01:49:11.104201","created_date":"2023-03-22"}