{"id":"https://openalex.org/W2963065766","doi":"https://doi.org/10.1109/icpr.2018.8545800","title":"Constrained Sparse Subspace Clustering with Side-Information","display_name":"Constrained Sparse Subspace Clustering with Side-Information","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2963065766","doi":"https://doi.org/10.1109/icpr.2018.8545800","mag":"2963065766"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5100654344","display_name":"Chun-Guang Li","orcid":"https://orcid.org/0000-0002-5716-268X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chun-Guang Li","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101659677","display_name":"Junjian Zhang","orcid":"https://orcid.org/0000-0003-0083-1384"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjian Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445470","display_name":"Jun Guo","orcid":"https://orcid.org/0000-0001-9045-1339"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Guo","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100654344"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.3677,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61280882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"96","issue":null,"first_page":"2093","last_page":"2099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9961000084877014,"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":0.9961000084877014,"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/T10057","display_name":"Face and Expression Recognition","score":0.9936000108718872,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8345577120780945},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6370960474014282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5855122804641724},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.5638831853866577},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.5450518131256104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5357887148857117},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5156375169754028},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5132091045379639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4955488443374634},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.4895652234554291},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.46220776438713074},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45087337493896484},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4311123788356781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.323020875453949}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8345577120780945},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6370960474014282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5855122804641724},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.5638831853866577},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.5450518131256104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5357887148857117},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5156375169754028},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5132091045379639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4955488443374634},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.4895652234554291},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.46220776438713074},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45087337493896484},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4311123788356781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.323020875453949},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W1533128638","https://openalex.org/W1600471557","https://openalex.org/W1736339626","https://openalex.org/W1884731728","https://openalex.org/W1908089688","https://openalex.org/W1931947167","https://openalex.org/W1970156673","https://openalex.org/W1992283848","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2003217181","https://openalex.org/W2010447185","https://openalex.org/W2013712253","https://openalex.org/W2022756254","https://openalex.org/W2025391886","https://openalex.org/W2033403400","https://openalex.org/W2043329902","https://openalex.org/W2058811418","https://openalex.org/W2087684630","https://openalex.org/W2097413644","https://openalex.org/W2100549954","https://openalex.org/W2103012681","https://openalex.org/W2132914434","https://openalex.org/W2134089414","https://openalex.org/W2138218344","https://openalex.org/W2144902590","https://openalex.org/W2149097927","https://openalex.org/W2150414161","https://openalex.org/W2156246479","https://openalex.org/W2160616617","https://openalex.org/W2160915541","https://openalex.org/W2162972849","https://openalex.org/W2164278908","https://openalex.org/W2177347332","https://openalex.org/W2203392907","https://openalex.org/W2294644361","https://openalex.org/W2343516804","https://openalex.org/W2527399347","https://openalex.org/W2532206188","https://openalex.org/W2572974391","https://openalex.org/W2951085447","https://openalex.org/W2952733303","https://openalex.org/W2962911132","https://openalex.org/W2963840432","https://openalex.org/W3121920480","https://openalex.org/W4233413206","https://openalex.org/W4244030505","https://openalex.org/W4250657332","https://openalex.org/W4292363360","https://openalex.org/W6603183647","https://openalex.org/W6635884019","https://openalex.org/W6640419445","https://openalex.org/W6675164516","https://openalex.org/W6679849079","https://openalex.org/W6681275918"],"related_works":["https://openalex.org/W2143394965","https://openalex.org/W2110877857","https://openalex.org/W2505602116","https://openalex.org/W2963605636","https://openalex.org/W3112122414","https://openalex.org/W2963065766","https://openalex.org/W3000569786","https://openalex.org/W2532531558","https://openalex.org/W3082311851","https://openalex.org/W2804507487"],"abstract_inverted_index":{"Subspace":[0,83],"clustering":[1,32,42,57,77,116,131],"refers":[2],"to":[3,26,37,114,128,148],"the":[4,18,38,49,53,89,96,106,120,126,129,136,150],"problem":[5],"of":[6,15,40,52,98,108,135,152],"segmenting":[7],"high":[8],"dimensional":[9],"data":[10],"drawn":[11],"from":[12],"a":[13],"union":[14],"subspaces":[16],"into":[17],"respective":[19],"subspaces.":[20],"In":[21],"some":[22],"applications,":[23],"partial":[24,121],"side-information":[25,54,90,122],"indicate":[27],"\u201cmust-link\u201d":[28],"or":[29],"\u201ccannot-link\u201d":[30],"in":[31,46,66,87,95,105,133],"is":[33,91],"available.":[34],"This":[35],"leads":[36],"task":[39],"subspace":[41,56,76],"with":[43,78],"side-information.":[44],"However,":[45],"prior":[47],"work":[48],"supervision":[50],"value":[51],"for":[55,74],"has":[58],"not":[59,93],"been":[60],"fully":[61],"exploited.":[62],"To":[63],"this":[64,67],"end,":[65],"paper,":[68],"we":[69,112],"present":[70],"an":[71,100],"enhanced":[72],"approach":[73],"constrained":[75],"side-information,":[79],"termed":[80],"Constrained":[81],"Sparse":[82],"Clustering":[84],"plus":[85],"(CSSC+),":[86],"which":[88],"used":[92],"only":[94],"stage":[97,107],"learning":[99],"affinity":[101],"matrix":[102],"but":[103],"also":[104],"spectral":[109],"clustering.":[110],"Moreover,":[111],"propose":[113],"estimate":[115],"accuracy":[117,132],"based":[118],"on":[119,142],"and":[123],"theoretically":[124],"justify":[125],"connection":[127],"ground-truth":[130],"terms":[134],"Rand":[137],"index.":[138],"We":[139],"conduct":[140],"experiments":[141],"three":[143],"cancer":[144],"gene":[145],"expression":[146],"datasets":[147],"validate":[149],"effectiveness":[151],"our":[153],"proposals.":[154]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}