{"id":"https://openalex.org/W1587152716","doi":"https://doi.org/10.1109/icaci.2015.7184738","title":"Hypergraph-based spectral clustering for categorical data","display_name":"Hypergraph-based spectral clustering for categorical data","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W1587152716","doi":"https://doi.org/10.1109/icaci.2015.7184738","mag":"1587152716"},"language":"en","primary_location":{"id":"doi:10.1109/icaci.2015.7184738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2015.7184738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Seventh International Conference on Advanced Computational Intelligence (ICACI)","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/A5100752380","display_name":"Li Yang","orcid":"https://orcid.org/0000-0002-8988-0491"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Li","raw_affiliation_strings":["Institute of Systems Engineering, Dalian University of Technology, Dalian, China","Institute of Systems Engineering, Dalian University of Technology, 116024 China"],"affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Institute of Systems Engineering, Dalian University of Technology, 116024 China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028839347","display_name":"Chonghui Guo","orcid":"https://orcid.org/0000-0002-5155-1297"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chonghui Guo","raw_affiliation_strings":["Institute of Systems Engineering, Dalian University of Technology, Dalian, China","Institute of Systems Engineering, Dalian University of Technology, 116024 China"],"affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Institute of Systems Engineering, Dalian University of Technology, 116024 China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100752380"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.02209228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"19","issue":null,"first_page":"396","last_page":"401"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9968000054359436,"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":0.9968000054359436,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/hypergraph","display_name":"Hypergraph","score":0.8621305227279663},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.8577526807785034},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7338786125183105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.597001850605011},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5564457178115845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4624813497066498},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4465998411178589},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.42875349521636963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39040958881378174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3382628262042999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17415225505828857},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0930188000202179}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8621305227279663},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8577526807785034},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7338786125183105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.597001850605011},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5564457178115845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4624813497066498},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4465998411178589},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.42875349521636963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39040958881378174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3382628262042999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17415225505828857},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0930188000202179},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci.2015.7184738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2015.7184738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Seventh International Conference on Advanced Computational Intelligence (ICACI)","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/W1506285740","https://openalex.org/W1977735777","https://openalex.org/W2057712948","https://openalex.org/W2104371378","https://openalex.org/W2120970098","https://openalex.org/W2122943553","https://openalex.org/W2127971792","https://openalex.org/W2149230623","https://openalex.org/W2150853899","https://openalex.org/W2166559705","https://openalex.org/W2170057991","https://openalex.org/W2886661658","https://openalex.org/W2998574808","https://openalex.org/W4234315553","https://openalex.org/W6753898695"],"related_works":["https://openalex.org/W1999117613","https://openalex.org/W2040929534","https://openalex.org/W3022637481","https://openalex.org/W2393816671","https://openalex.org/W3120229345","https://openalex.org/W2111119584","https://openalex.org/W3144143113","https://openalex.org/W3039964395","https://openalex.org/W2804957450","https://openalex.org/W1887359504"],"abstract_inverted_index":{"Clustering":[0],"categorical":[1,21,27,39],"data":[2,28,33],"has":[3],"attracted":[4],"much":[5],"attention":[6],"in":[7],"recent":[8],"years.":[9],"In":[10,71],"this":[11],"paper,":[12],"a":[13,42,50,66,80,88,113],"hypergraph-based":[14,114],"spectral":[15,115],"clustering":[16,116,123],"algorithm":[17,117],"is":[18,77,85,118],"proposed":[19,136],"for":[20,127],"data.":[22],"Firstly,":[23],"we":[24,61],"convert":[25],"the":[26,72,100,103,106,109,122,132,135],"to":[29,120],"market":[30],"basket":[31],"type":[32],"by":[34],"modeling":[35],"each":[36,63,75,83],"instance":[37],"with":[38],"attributes":[40],"as":[41,65,79,87],"transaction.":[43],"By":[44],"using":[45],"an":[46,93],"itemset":[47],"counting":[48],"algorithm,":[49],"set":[51,67],"of":[52,68,97,102,108,134],"patterns":[53],"(i.e.":[54],"frequent":[55],"itemsets)":[56],"can":[57],"be":[58],"discovered.":[59],"Then":[60],"represent":[62],"transaction":[64,76],"these":[69],"patterns.":[70],"hypergraph":[73],"model,":[74],"represented":[78],"vertex,":[81],"and":[82,99],"pattern":[84],"regarded":[86],"hyperedge.":[89],"A":[90],"hyperedge":[91,104],"represents":[92],"affinity":[94],"among":[95],"subsets":[96],"transactions":[98],"weight":[101],"reflects":[105],"strength":[107],"affinity.":[110],"At":[111],"last":[112],"used":[119],"find":[121],"results.":[124],"Experimental":[125],"results":[126],"selected":[128],"UCI":[129],"datasets":[130],"show":[131],"effectiveness":[133],"algorithm.":[137]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
