{"id":"https://openalex.org/W2148181657","doi":"https://doi.org/10.1109/mmsp.2007.4412855","title":"Integrated Feature Selection and Clustering from Multiple Views for a Taxonomic Problem","display_name":"Integrated Feature Selection and Clustering from Multiple Views for a Taxonomic Problem","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2148181657","doi":"https://doi.org/10.1109/mmsp.2007.4412855","mag":"2148181657"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2007.4412855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2007.4412855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 9th Workshop on Multimedia Signal Processing","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/A5059441813","display_name":"Hui-Min Chen","orcid":"https://orcid.org/0000-0002-5277-0547"},"institutions":[{"id":"https://openalex.org/I192396691","display_name":"University of New Orleans","ror":"https://ror.org/034mtvk83","country_code":"US","type":"education","lineage":["https://openalex.org/I192396691","https://openalex.org/I2799628689"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huimin Chen","raw_affiliation_strings":["Department of Electrical Engineering, University of New Orleans, New Orleans, LA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of New Orleans, New Orleans, LA, USA","institution_ids":["https://openalex.org/I192396691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049470689","display_name":"Henry L. Bart","orcid":"https://orcid.org/0000-0002-5662-9444"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henry L. Bart","raw_affiliation_strings":["Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, LA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, LA, USA","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110083465","display_name":"Shuqing Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I1343953105","display_name":"General Dynamics (United States)","ror":"https://ror.org/05pyq8e17","country_code":"US","type":"company","lineage":["https://openalex.org/I1343953105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuqing Huang","raw_affiliation_strings":["General Dynamics Information Technology, New Orleans, LA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"General Dynamics Information Technology, New Orleans, LA, USA","institution_ids":["https://openalex.org/I1343953105"]}]}],"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":0.17758784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"211","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"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/T12417","display_name":"Morphological variations and asymmetry","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"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/T11354","display_name":"Evolution and Paleontology Studies","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1911","display_name":"Paleontology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7883822917938232},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6712254285812378},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6331987380981445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.627371072769165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5925475358963013},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5851136445999146},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5211622714996338},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47226086258888245},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4654766917228699},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4467238187789917},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4368460774421692},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22226709127426147}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7883822917938232},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6712254285812378},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6331987380981445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.627371072769165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5925475358963013},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5851136445999146},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5211622714996338},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47226086258888245},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4654766917228699},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4467238187789917},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4368460774421692},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22226709127426147},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2007.4412855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2007.4412855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 9th Workshop on Multimedia Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1553244859","https://openalex.org/W1586444875","https://openalex.org/W1607198972","https://openalex.org/W1999950466","https://openalex.org/W2044193178","https://openalex.org/W2109200236","https://openalex.org/W2110065044","https://openalex.org/W2129606894","https://openalex.org/W2132661331","https://openalex.org/W2153922613","https://openalex.org/W2163905877","https://openalex.org/W3140968660","https://openalex.org/W6635042280"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2393816671","https://openalex.org/W2158836806","https://openalex.org/W2083665254","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"As":[0],"computer":[1],"and":[2,21,58,86,109],"database":[3],"technologies":[4],"advance":[5],"rapidly,":[6],"biologists":[7],"all":[8],"over":[9],"the":[10,23,27,94,103,111,116,122,128,150,157],"world":[11],"can":[12,125],"share":[13],"biologically":[14],"meaningful":[15],"data":[16,24],"from":[17,36,82,90],"images":[18,41,92],"of":[19,33,39,66,93,106,147],"specimens":[20,28,71],"use":[22,97],"to":[25,69,101,136],"classify":[26],"taxonomically.":[29],"Accurate":[30],"shape":[31,85],"analysis":[32],"a":[34,64,73,98,142],"specimen":[35,129],"multiple":[37],"views":[38],"2D":[40,91],"is":[42],"crucial":[43],"for":[44],"finding":[45],"diagnostic":[46],"features":[47,79],"using":[48,156],"geometric":[49],"morphometric":[50],"techniques.":[51],"We":[52,96],"propose":[53],"an":[54],"integrated":[55],"feature":[56,67,108,117],"selection":[57,118],"clustering":[59,123],"framework":[60,159],"that":[61,121,133],"automatically":[62],"identifies":[63],"set":[65],"variables":[68],"group":[70],"into":[72,131],"binary":[74],"cluster":[75],"tree.":[76],"The":[77,139],"candidate":[78],"are":[80],"generated":[81],"reconstructed":[83],"3D":[84],"local":[87],"saliency":[88],"characteristics":[89],"specimen.":[95],"mixture":[99],"model":[100],"estimate":[102],"significance":[104],"value":[105],"each":[107],"control":[110],"false":[112],"discovery":[113],"rate":[114],"in":[115,149],"process":[119],"so":[120],"algorithm":[124],"efficiently":[126],"partition":[127],"samples":[130],"clusters":[132],"may":[134],"correspond":[135],"different":[137],"species.":[138],"experiments":[140],"on":[141],"taxonomic":[143],"problem":[144],"involving":[145],"species":[146],"suckers":[148],"genus":[151],"Carpiodes":[152],"demonstrate":[153],"promising":[154],"results":[155],"proposed":[158],"with":[160],"small":[161],"sample":[162],"size.":[163]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}