{"id":"https://openalex.org/W2920843645","doi":"https://doi.org/10.1109/ai4i.2018.8665720","title":"Combinatorial Algorithms in Machine Learning","display_name":"Combinatorial Algorithms in Machine Learning","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2920843645","doi":"https://doi.org/10.1109/ai4i.2018.8665720","mag":"2920843645"},"language":"en","primary_location":{"id":"doi:10.1109/ai4i.2018.8665720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ai4i.2018.8665720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","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/A5038781104","display_name":"Peter Shaw","orcid":"https://orcid.org/0000-0002-3187-8938"},"institutions":[{"id":"https://openalex.org/I51158804","display_name":"Massey University","ror":"https://ror.org/052czxv31","country_code":"NZ","type":"education","lineage":["https://openalex.org/I51158804"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Peter Shaw","raw_affiliation_strings":["School of Engineering and Advanced Technology, Massey University, Manawatu, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Advanced Technology, Massey University, Manawatu, New Zealand","institution_ids":["https://openalex.org/I51158804"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5038781104"],"corresponding_institution_ids":["https://openalex.org/I51158804"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14431352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"127","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9925000071525574,"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":0.9925000071525574,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9832000136375427,"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/T12029","display_name":"DNA and Biological Computing","score":0.9818000197410583,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7034973502159119},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6851416826248169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6597888469696045},{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.6409593820571899},{"id":"https://openalex.org/keywords/aka","display_name":"AKA","score":0.608613133430481},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5057175159454346},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.44908589124679565},{"id":"https://openalex.org/keywords/edit-distance","display_name":"Edit distance","score":0.4458240568637848},{"id":"https://openalex.org/keywords/rand-index","display_name":"Rand index","score":0.4231502413749695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4151526093482971},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4150884747505188},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4000100791454315},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38574159145355225},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3464767336845398},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26844650506973267},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08210396766662598}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7034973502159119},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6851416826248169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6597888469696045},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.6409593820571899},{"id":"https://openalex.org/C121158502","wikidata":"https://www.wikidata.org/wiki/Q4652161","display_name":"AKA","level":2,"score":0.608613133430481},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5057175159454346},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.44908589124679565},{"id":"https://openalex.org/C44359876","wikidata":"https://www.wikidata.org/wiki/Q5338467","display_name":"Edit distance","level":2,"score":0.4458240568637848},{"id":"https://openalex.org/C111442797","wikidata":"https://www.wikidata.org/wiki/Q7291446","display_name":"Rand index","level":3,"score":0.4231502413749695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4151526093482971},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4150884747505188},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4000100791454315},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38574159145355225},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3464767336845398},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26844650506973267},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08210396766662598},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ai4i.2018.8665720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ai4i.2018.8665720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1985164700","https://openalex.org/W2001914359","https://openalex.org/W2017732166","https://openalex.org/W2080218231","https://openalex.org/W2090804142","https://openalex.org/W2128985829","https://openalex.org/W2135945534","https://openalex.org/W2154437541","https://openalex.org/W2883425903","https://openalex.org/W2905498282","https://openalex.org/W2963069757","https://openalex.org/W4396808240","https://openalex.org/W4399513068","https://openalex.org/W4399648513","https://openalex.org/W6654722562"],"related_works":["https://openalex.org/W3014541132","https://openalex.org/W2994737807","https://openalex.org/W2948639032","https://openalex.org/W3044917232","https://openalex.org/W2948704552","https://openalex.org/W2948403110","https://openalex.org/W3156494719","https://openalex.org/W1498160656","https://openalex.org/W2055693471","https://openalex.org/W2119149496"],"abstract_inverted_index":{"Although":[0],"quite":[1],"old,":[2],"the":[3,11,30,85,88],"classic":[4],"data":[5,12,45],"clustering":[6],"problem":[7],"strives":[8],"to":[9,28,73,84],"segment":[10],"into":[13],"homogeneous":[14],"groupings":[15],"where":[16,53],"homogeneity":[17],"is":[18],"measured":[19],"by,":[20],"for":[21],"example,":[22],"Gini":[23,54],"Index.":[24],"Classical":[25],"techniques":[26,52],"strive":[27],"group":[29],"data,":[31],"by":[32],"what":[33],"one":[34],"would":[35],"argue":[36],"as":[37],"\u201csmart\u201d":[38],"trial-and-error":[39],"procedure.":[40],"I":[41],"will":[42],"show":[43],"how":[44],"could":[46],"be":[47],"clustered":[48],"using":[49],"entirely":[50],"combinatorial":[51],"Index":[55],"or":[56],"Mean":[57],"Squared":[58],"Error":[59],"receive":[60],"no":[61],"mention":[62],"whatsoever.":[63],"The":[64],"Cluster-Editing":[65],"algorithm":[66],"aka":[67],"\u201cEdit-Distance\u201d":[68],"shows":[69],"a":[70],"great":[71],"promise":[72],"help":[74],"solve":[75],"those":[76],"intractable":[77],"high-dimensional":[78],"problems":[79],"because":[80],"it's":[81],"totally":[82],"indifferent":[83],"dimensionality":[86],"of":[87],"data.":[89]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}