{"id":"https://openalex.org/W3107746039","doi":"https://doi.org/10.1007/s10115-020-01530-8","title":"Improving spectral clustering with deep embedding, cluster estimation and metric learning","display_name":"Improving spectral clustering with deep embedding, cluster estimation and metric learning","publication_year":2020,"publication_date":"2020-11-22","ids":{"openalex":"https://openalex.org/W3107746039","doi":"https://doi.org/10.1007/s10115-020-01530-8","mag":"3107746039"},"language":"en","primary_location":{"id":"doi:10.1007/s10115-020-01530-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-020-01530-8","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"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":"Knowledge and Information Systems","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/A5101763318","display_name":"Liang Duan","orcid":"https://orcid.org/0000-0001-9473-2533"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Duan","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006980420","display_name":"Shuai Ma","orcid":"https://orcid.org/0000-0002-4050-0443"},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuai Ma","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China","SKLSDE Lab, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China","institution_ids":["https://openalex.org/I4210165198"]},{"raw_affiliation_string":"SKLSDE Lab, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028089542","display_name":"Char\u0173 C. Aggarwal","orcid":"https://orcid.org/0000-0003-2579-7581"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Charu Aggarwal","raw_affiliation_strings":["IBM T. J. Watson Research Center, New York, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, New York, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076590286","display_name":"Saket Sathe","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saket Sathe","raw_affiliation_strings":["IBM T. J. Watson Research Center, New York, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, New York, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006980420"],"corresponding_institution_ids":["https://openalex.org/I4210165198","https://openalex.org/I82880672"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":0.7851,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.75155846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"63","issue":"3","first_page":"675","last_page":"694"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.994700014591217,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.7704676389694214},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7273368835449219},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7082602381706238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6589380502700806},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6174597144126892},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.5959585905075073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5822864770889282},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5603320598602295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5478359460830688},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.502295970916748},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47980573773384094},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4592002332210541},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3765987157821655},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36399608850479126},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24607235193252563}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7704676389694214},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7273368835449219},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7082602381706238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6589380502700806},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6174597144126892},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.5959585905075073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5822864770889282},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5603320598602295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5478359460830688},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.502295970916748},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47980573773384094},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4592002332210541},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3765987157821655},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36399608850479126},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24607235193252563},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10115-020-01530-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-020-01530-8","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"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":"Knowledge and Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1317898902","display_name":null,"funder_award_id":"U1802271","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4453379053","display_name":null,"funder_award_id":"61925203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5152102630","display_name":null,"funder_award_id":"U1636210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8055127673","display_name":null,"funder_award_id":"61421003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8859589310","display_name":null,"funder_award_id":"2020M673310","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1531910981","https://openalex.org/W1585610988","https://openalex.org/W1987971958","https://openalex.org/W1992419399","https://openalex.org/W2011430131","https://openalex.org/W2047191928","https://openalex.org/W2051224630","https://openalex.org/W2077326626","https://openalex.org/W2085487226","https://openalex.org/W2093279820","https://openalex.org/W2099242680","https://openalex.org/W2100495367","https://openalex.org/W2112796928","https://openalex.org/W2113359929","https://openalex.org/W2120303002","https://openalex.org/W2125310307","https://openalex.org/W2131828344","https://openalex.org/W2132914434","https://openalex.org/W2136635436","https://openalex.org/W2140190241","https://openalex.org/W2140245639","https://openalex.org/W2142674578","https://openalex.org/W2148214025","https://openalex.org/W2150102617","https://openalex.org/W2150753219","https://openalex.org/W2157364932","https://openalex.org/W2165874743","https://openalex.org/W2405933695","https://openalex.org/W2533545350","https://openalex.org/W2557283755","https://openalex.org/W2586196357","https://openalex.org/W2730106296","https://openalex.org/W2741943936","https://openalex.org/W2751947065","https://openalex.org/W2769159728","https://openalex.org/W2781711557","https://openalex.org/W2784962210","https://openalex.org/W2952380632","https://openalex.org/W2953267151","https://openalex.org/W2962835968","https://openalex.org/W2964074409","https://openalex.org/W3003209024","https://openalex.org/W3015571647","https://openalex.org/W4235539094","https://openalex.org/W4237171445"],"related_works":["https://openalex.org/W2594436708","https://openalex.org/W4360994128","https://openalex.org/W2769441402","https://openalex.org/W2951850672","https://openalex.org/W2789476480","https://openalex.org/W2972477132","https://openalex.org/W3012376705","https://openalex.org/W2906422195","https://openalex.org/W4308344195","https://openalex.org/W4382052822"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
