{"id":"https://openalex.org/W2064027395","doi":"https://doi.org/10.1007/s10844-013-0285-0","title":"A scalable approach to spectral clustering with SDD solvers","display_name":"A scalable approach to spectral clustering with SDD solvers","publication_year":2013,"publication_date":"2013-10-23","ids":{"openalex":"https://openalex.org/W2064027395","doi":"https://doi.org/10.1007/s10844-013-0285-0","mag":"2064027395"},"language":"en","primary_location":{"id":"doi:10.1007/s10844-013-0285-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10844-013-0285-0","pdf_url":null,"source":{"id":"https://openalex.org/S36033921","display_name":"Journal of Intelligent Information Systems","issn_l":"0925-9902","issn":["0925-9902","1573-7675"],"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":"Journal of Intelligent 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/A5091682640","display_name":"Nguyen Lu Dang Khoa","orcid":"https://orcid.org/0000-0002-9432-414X"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Nguyen Lu Dang Khoa","raw_affiliation_strings":["National ICT Australia (NICTA), Sydney, Australia","National ICT Australia (NICTA); Sydney Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National ICT Australia (NICTA), Sydney, Australia","institution_ids":["https://openalex.org/I42894916"]},{"raw_affiliation_string":"National ICT Australia (NICTA); Sydney Australia","institution_ids":["https://openalex.org/I42894916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037947876","display_name":"Sanjay Chawla","orcid":"https://orcid.org/0000-0002-8102-2572"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sanjay Chawla","raw_affiliation_strings":["School of IT, University of Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of IT, University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091682640"],"corresponding_institution_ids":["https://openalex.org/I42894916"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":null,"fwci":0.6862,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.70423628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"44","issue":"2","first_page":"289","last_page":"308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.978600025177002,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9775999784469604,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.8322193622589111},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8052156567573547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7933010458946228},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.6174565553665161},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6045635342597961},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.46312791109085083},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4555337429046631},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4426908493041992},{"id":"https://openalex.org/keywords/subroutine","display_name":"Subroutine","score":0.43387794494628906},{"id":"https://openalex.org/keywords/eigendecomposition-of-a-matrix","display_name":"Eigendecomposition of a matrix","score":0.43359988927841187},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.4266390800476074},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4208647906780243},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3691936135292053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28899747133255005}],"concepts":[{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.8322193622589111},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8052156567573547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7933010458946228},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.6174565553665161},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6045635342597961},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.46312791109085083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4555337429046631},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4426908493041992},{"id":"https://openalex.org/C96147967","wikidata":"https://www.wikidata.org/wiki/Q190686","display_name":"Subroutine","level":2,"score":0.43387794494628906},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.43359988927841187},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.4266390800476074},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4208647906780243},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3691936135292053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28899747133255005},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10844-013-0285-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10844-013-0285-0","pdf_url":null,"source":{"id":"https://openalex.org/S36033921","display_name":"Journal of Intelligent Information Systems","issn_l":"0925-9902","issn":["0925-9902","1573-7675"],"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":"Journal of Intelligent Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W150179085","https://openalex.org/W1556852487","https://openalex.org/W1564611420","https://openalex.org/W1587744656","https://openalex.org/W1596272233","https://openalex.org/W1916091028","https://openalex.org/W1966040142","https://openalex.org/W1981745143","https://openalex.org/W2033852356","https://openalex.org/W2045107949","https://openalex.org/W2051549110","https://openalex.org/W2053171205","https://openalex.org/W2068392212","https://openalex.org/W2078979416","https://openalex.org/W2102560346","https://openalex.org/W2116810533","https://openalex.org/W2121947440","https://openalex.org/W2125664420","https://openalex.org/W2126337883","https://openalex.org/W2130470622","https://openalex.org/W2132914434","https://openalex.org/W2134370969","https://openalex.org/W2161984370","https://openalex.org/W2163413889","https://openalex.org/W2164853353","https://openalex.org/W2165874743","https://openalex.org/W2167064216","https://openalex.org/W2798909945","https://openalex.org/W2949556662","https://openalex.org/W2979473749","https://openalex.org/W3097609957","https://openalex.org/W3099514962","https://openalex.org/W3120740533","https://openalex.org/W6633673058","https://openalex.org/W6645866653","https://openalex.org/W6675443950","https://openalex.org/W6679646736","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W51907474","https://openalex.org/W2366795653","https://openalex.org/W3124727659","https://openalex.org/W3105471108","https://openalex.org/W2980862306","https://openalex.org/W2964130432","https://openalex.org/W2722895473","https://openalex.org/W4299916295","https://openalex.org/W2806276374","https://openalex.org/W3162780976"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}