{"id":"https://openalex.org/W2939889917","doi":"https://doi.org/10.1109/ccis.2018.8691382","title":"Subspace Clustering with Two-dimensional Graph PCA and Discrete Label Learning","display_name":"Subspace Clustering with Two-dimensional Graph PCA and Discrete Label Learning","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2939889917","doi":"https://doi.org/10.1109/ccis.2018.8691382","mag":"2939889917"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2018.8691382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","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/A5101130674","display_name":"Lixin Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lixin Yao","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061388754","display_name":"Songsong Wu","orcid":"https://orcid.org/0000-0001-9347-5395"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songsong Wu","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101564223","display_name":"Yurong Liu","orcid":"https://orcid.org/0000-0002-7974-9449"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yurong Liu","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091320821","display_name":"Zuoyong Li","orcid":"https://orcid.org/0000-0003-0952-9915"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuoyong Li","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076313660","display_name":"Cailin Wang","orcid":"https://orcid.org/0000-0001-7708-5362"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cailin Wang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101130674"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2046116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"860","last_page":"864"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9783999919891357,"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":0.9783999919891357,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.964900016784668,"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/adjacency-matrix","display_name":"Adjacency matrix","score":0.8057256937026978},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7982761263847351},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7084956765174866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6279933452606201},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.6223436594009399},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.6076185703277588},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5848888158798218},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5407097935676575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5152902603149414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.500145673751831},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4542071223258972},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4411042034626007},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2600357234477997},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1924341320991516}],"concepts":[{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.8057256937026978},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7982761263847351},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7084956765174866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6279933452606201},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.6223436594009399},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.6076185703277588},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5848888158798218},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5407097935676575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5152902603149414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.500145673751831},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4542071223258972},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4411042034626007},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2600357234477997},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1924341320991516}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2018.8691382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","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":26,"referenced_works":["https://openalex.org/W62192748","https://openalex.org/W1600471557","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2013712253","https://openalex.org/W2048023990","https://openalex.org/W2057069782","https://openalex.org/W2064210461","https://openalex.org/W2086953401","https://openalex.org/W2089480358","https://openalex.org/W2102544846","https://openalex.org/W2107887685","https://openalex.org/W2119661745","https://openalex.org/W2125742596","https://openalex.org/W2155074104","https://openalex.org/W2164931791","https://openalex.org/W2177347332","https://openalex.org/W2296131993","https://openalex.org/W2546325542","https://openalex.org/W2736399023","https://openalex.org/W3105835503","https://openalex.org/W6602530501","https://openalex.org/W6635884019","https://openalex.org/W6676180653","https://openalex.org/W6677511710","https://openalex.org/W6697521581"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W2369410163","https://openalex.org/W2982430984","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W1991172810","https://openalex.org/W125803343","https://openalex.org/W2117632582","https://openalex.org/W4388347373","https://openalex.org/W2078477160"],"abstract_inverted_index":{"Subspace":[0],"clustering":[1,12,69],"has":[2],"been":[3],"widely":[4],"used":[5],"in":[6],"many":[7],"areas":[8],"today.":[9],"Traditional":[10],"subspace":[11],"methods":[13],"convert":[14],"data":[15,24,43,75],"into":[16,44],"vectors,":[17],"which":[18],"may":[19],"damage":[20],"structure":[21,50],"information":[22],"of":[23,81],"and":[25,40],"lead":[26],"to":[27,65],"performance":[28],"decline.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33],"not":[34],"only":[35],"find":[36],"a":[37],"projection":[38,45],"matrix":[39,64],"project":[41],"graph":[42],"directions":[46],"for":[47],"preserving":[48],"the":[49,67,79],"information,":[51],"but":[52],"also":[53],"perform":[54],"discrete":[55,68],"transforms":[56],"on":[57,73],"intermediate":[58],"continuous":[59],"labels":[60],"after":[61],"getting":[62],"adjacency":[63],"get":[66],"labels.":[70],"Experiments":[71],"conducted":[72],"significant":[74],"sets":[76],"have":[77],"confirmed":[78],"priority":[80],"our":[82],"method":[83],"comparing":[84],"with":[85],"some":[86],"classic":[87],"traditional":[88],"methods.":[89]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
