{"id":"https://openalex.org/W4212793398","doi":"https://doi.org/10.1007/s10878-022-00849-y","title":"A study of feature representation via neural network feature extraction and weighted distance for clustering","display_name":"A study of feature representation via neural network feature extraction and weighted distance for clustering","publication_year":2022,"publication_date":"2022-02-21","ids":{"openalex":"https://openalex.org/W4212793398","doi":"https://doi.org/10.1007/s10878-022-00849-y"},"language":"en","primary_location":{"id":"doi:10.1007/s10878-022-00849-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10878-022-00849-y","pdf_url":null,"source":{"id":"https://openalex.org/S107925523","display_name":"Journal of Combinatorial Optimization","issn_l":"1382-6905","issn":["1382-6905","1573-2886"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Combinatorial Optimization","raw_type":"journal-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/A5080729351","display_name":"Lily Schleider","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lily Schleider","raw_affiliation_strings":["Applied Operations Research Lab, IEMS, University of Central Florida, Orlando, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Operations Research Lab, IEMS, University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054940160","display_name":"Eduardo L. Pasiliao","orcid":"https://orcid.org/0000-0002-6403-6649"},"institutions":[{"id":"https://openalex.org/I2801461044","display_name":"Eglin Air Force Base","ror":"https://ror.org/002c7zk35","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796","https://openalex.org/I2801461044","https://openalex.org/I4210089612","https://openalex.org/I4210102105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eduardo L. Pasiliao","raw_affiliation_strings":["AFRL, Eglin AFB, Valparaiso, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AFRL, Eglin AFB, Valparaiso, FL, USA","institution_ids":["https://openalex.org/I2801461044"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039662673","display_name":"Zhecheng Qiang","orcid":"https://orcid.org/0000-0001-6124-3047"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhecheng Qiang","raw_affiliation_strings":["Applied Operations Research Lab, IEMS, University of Central Florida, Orlando, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Operations Research Lab, IEMS, University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085814762","display_name":"Qipeng P. Zheng","orcid":"https://orcid.org/0000-0002-4597-3426"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qipeng P. Zheng","raw_affiliation_strings":["Applied Operations Research Lab, IEMS, University of Central Florida, Orlando, USA"],"raw_orcid":"https://orcid.org/0000-0002-4597-3426","affiliations":[{"raw_affiliation_string":"Applied Operations Research Lab, IEMS, University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080729351"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.9711,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78887621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"44","issue":"4","first_page":"3083","last_page":"3105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9995999932289124,"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":0.9995999932289124,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987999796867371,"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/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8086274862289429},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.8013687133789062},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7696722745895386},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6434139609336853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5981265306472778},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.585692286491394},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5506507754325867},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48689499497413635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4716799855232239},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4437127113342285},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44289839267730713},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4424195885658264},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.43423283100128174},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40567129850387573},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37445133924484253},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.36157914996147156},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.23029166460037231}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8086274862289429},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.8013687133789062},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7696722745895386},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6434139609336853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5981265306472778},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.585692286491394},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5506507754325867},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48689499497413635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4716799855232239},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4437127113342285},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44289839267730713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4424195885658264},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.43423283100128174},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40567129850387573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37445133924484253},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.36157914996147156},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.23029166460037231},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10878-022-00849-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10878-022-00849-y","pdf_url":null,"source":{"id":"https://openalex.org/S107925523","display_name":"Journal of Combinatorial Optimization","issn_l":"1382-6905","issn":["1382-6905","1573-2886"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Combinatorial Optimization","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:jcomop:v:44:y:2022:i:4:d:10.1007_s10878-022-00849-y","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10878-022-00849-y","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1973965874","https://openalex.org/W2069576811","https://openalex.org/W2069662697","https://openalex.org/W2083620785","https://openalex.org/W2119411048","https://openalex.org/W2140405352","https://openalex.org/W2148394752","https://openalex.org/W2149029960","https://openalex.org/W2395046187","https://openalex.org/W2962852342","https://openalex.org/W3118474605","https://openalex.org/W4238688913"],"related_works":["https://openalex.org/W2399084168","https://openalex.org/W2347756416","https://openalex.org/W2365821276","https://openalex.org/W2797947728","https://openalex.org/W2892323093","https://openalex.org/W2553199096","https://openalex.org/W2373741815","https://openalex.org/W3087769312","https://openalex.org/W2156873915","https://openalex.org/W2379398902"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}