{"id":"https://openalex.org/W3127595918","doi":"https://doi.org/10.1145/3443467.3443722","title":"Feature Selection Algorithm based on Sparse Effective Distance combined with sPCA for Microarray Data","display_name":"Feature Selection Algorithm based on Sparse Effective Distance combined with sPCA for Microarray Data","publication_year":2020,"publication_date":"2020-11-06","ids":{"openalex":"https://openalex.org/W3127595918","doi":"https://doi.org/10.1145/3443467.3443722","mag":"3127595918"},"language":"en","primary_location":{"id":"doi:10.1145/3443467.3443722","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3443467.3443722","pdf_url":null,"source":{"id":"https://openalex.org/S4306523680","display_name":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","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":null,"display_name":"Shen NingMin","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen NingMin","raw_affiliation_strings":["China Mobile (SuZhou)Software Technology Company, SuZhou City China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile (SuZhou)Software Technology Company, SuZhou City China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100308398","display_name":"Yaqiong Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan YaQiong","raw_affiliation_strings":["China Mobile (SuZhou)Software Technology Company, SuZhou City China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile (SuZhou)Software Technology Company, SuZhou City China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021093477","display_name":"Long Peng","orcid":"https://orcid.org/0000-0003-4589-8064"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Peng","raw_affiliation_strings":["China Mobile (SuZhou)Software Technology Company, SuZhou City China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile (SuZhou)Software Technology Company, SuZhou City China","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30740276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9991999864578247,"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/T10057","display_name":"Face and Expression Recognition","score":0.984499990940094,"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/T12676","display_name":"Machine Learning and ELM","score":0.9649999737739563,"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/feature-selection","display_name":"Feature selection","score":0.8015843629837036},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7367379069328308},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6957532167434692},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.666377604007721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.649530827999115},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6437462568283081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5560556650161743},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5169740915298462},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4908912777900696},{"id":"https://openalex.org/keywords/minimum-redundancy-feature-selection","display_name":"Minimum redundancy feature selection","score":0.4685958921909332},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4552513360977173},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4550101161003113},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45446813106536865},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42836371064186096},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22533786296844482}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8015843629837036},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7367379069328308},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6957532167434692},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.666377604007721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.649530827999115},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6437462568283081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5560556650161743},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5169740915298462},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4908912777900696},{"id":"https://openalex.org/C16811321","wikidata":"https://www.wikidata.org/wiki/Q17138905","display_name":"Minimum redundancy feature selection","level":3,"score":0.4685958921909332},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4552513360977173},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4550101161003113},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45446813106536865},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42836371064186096},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22533786296844482},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3443467.3443722","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3443467.3443722","pdf_url":null,"source":{"id":"https://openalex.org/S4306523680","display_name":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","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":7,"referenced_works":["https://openalex.org/W1884788095","https://openalex.org/W2031165514","https://openalex.org/W2144629557","https://openalex.org/W2149775297","https://openalex.org/W2174029734","https://openalex.org/W4212774754","https://openalex.org/W6600586173"],"related_works":["https://openalex.org/W3120617324","https://openalex.org/W2156571267","https://openalex.org/W2998727463","https://openalex.org/W1838735596","https://openalex.org/W2350815964","https://openalex.org/W2805829984","https://openalex.org/W4388573469","https://openalex.org/W3036204000","https://openalex.org/W3135058836","https://openalex.org/W2747166117"],"abstract_inverted_index":{"Feature":[0],"selection":[1,26,68,90],"is":[2],"an":[3],"efficient":[4],"pre-processing":[5],"method":[6,27,69,91,124],"for":[7],"high-dimensional":[8,49],"data.":[9],"It":[10],"can":[11,125],"promote":[12],"the":[13,23,32,40,77,84,87,101,118,122,128,133],"accuracy":[14,129],"of":[15,105,130],"classifiers":[16],"by":[17],"removing":[18],"redundancy":[19],"and":[20,36,44,79,103,117,132],"outliers.":[21],"However,":[22],"traditional":[24],"feature":[25,67,89],"pay":[28],"more":[29],"attention":[30],"on":[31,71,111],"correlation":[33,41],"between":[34,42],"samples":[35,43],"features":[37],"while":[38],"ignoring":[39],"samples.":[45,85],"When":[46],"dealing":[47],"with":[48,51,93],"data":[50,115],"small":[52],"sample":[53],"sizes,":[54],"those":[55],"methods":[56],"have":[57],"poor":[58],"performance.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"propose":[64],"a":[65],"new":[66],"based":[70],"sparse":[72,94],"effective":[73],"distance,":[74],"which":[75],"consider":[76],"local":[78],"global":[80],"similarities":[81],"among":[82],"all":[83],"Meanwhile,":[86],"proposed":[88,123],"combine":[92],"principal":[95],"component":[96],"analysis":[97],"(sPCA)":[98],"to":[99],"improve":[100,127],"sparsity":[102],"structure":[104],"loadings.":[106],"The":[107],"experiments":[108],"were":[109],"performed":[110],"eight":[112],"gene":[113],"expression":[114],"sets,":[116],"results":[119],"show":[120],"that":[121],"simultaneously":[126],"classification":[131],"stability.":[134]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}