{"id":"https://openalex.org/W1975594892","doi":"https://doi.org/10.1109/bigdata.2013.6691599","title":"Self-tuned kernel spectral clustering for large scale networks","display_name":"Self-tuned kernel spectral clustering for large scale networks","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W1975594892","doi":"https://doi.org/10.1109/bigdata.2013.6691599","mag":"1975594892"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2013.6691599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/123456789/415346","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055826525","display_name":"Raghvendra Mall","orcid":"https://orcid.org/0000-0003-1779-3150"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Raghvendra Mall","raw_affiliation_strings":["Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium","Dept. of Electr. Eng., Katholieke Univ. Leuven, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Katholieke Univ. Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022628045","display_name":"Rocco Langone","orcid":"https://orcid.org/0000-0002-7583-7003"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Rocco Langone","raw_affiliation_strings":["Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium","Dept. of Electr. Eng., Katholieke Univ. Leuven, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Katholieke Univ. Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078854904","display_name":"Johan A. K. Suykens","orcid":"https://orcid.org/0000-0002-8846-6352"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Johan A.K. Suykens","raw_affiliation_strings":["Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium","Dept. of Electr. Eng., Katholieke Univ. Leuven, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Katholieke Univ. Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055826525"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":4.7391,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.9507806,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"385","last_page":"393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9965000152587891,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9021999835968018,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6906951665878296},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6756346225738525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6241881847381592},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6130453944206238},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5742900967597961},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.49706318974494934},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45549994707107544},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43468087911605835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4300564229488373},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36808842420578003},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3224366009235382},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3197060227394104},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06622204184532166},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.062418133020401}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6906951665878296},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6756346225738525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6241881847381592},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6130453944206238},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5742900967597961},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.49706318974494934},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45549994707107544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43468087911605835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4300564229488373},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36808842420578003},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3224366009235382},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3197060227394104},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06622204184532166},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.062418133020401},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2013.6691599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/415346","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/415346","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE BigData 2013, Santa Clara, USA, 6-9 October 2013","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/415346","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/415346","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE BigData 2013, Santa Clara, USA, 6-9 October 2013","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1496317909","https://openalex.org/W1578099820","https://openalex.org/W1597391767","https://openalex.org/W1967006938","https://openalex.org/W1971421925","https://openalex.org/W1995996823","https://openalex.org/W2004207196","https://openalex.org/W2006469537","https://openalex.org/W2044842931","https://openalex.org/W2047940964","https://openalex.org/W2056760934","https://openalex.org/W2064340336","https://openalex.org/W2105681109","https://openalex.org/W2120043163","https://openalex.org/W2121947440","https://openalex.org/W2127048411","https://openalex.org/W2131681506","https://openalex.org/W2131834529","https://openalex.org/W2132914434","https://openalex.org/W2139694940","https://openalex.org/W2146008005","https://openalex.org/W2151936673","https://openalex.org/W2152322845","https://openalex.org/W2164998314","https://openalex.org/W2165874743","https://openalex.org/W2171935404","https://openalex.org/W2179342229","https://openalex.org/W2327250108","https://openalex.org/W2600355238","https://openalex.org/W3099768174","https://openalex.org/W3102641634","https://openalex.org/W4235169531","https://openalex.org/W4285719527","https://openalex.org/W4301501800","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W1482912984"],"abstract_inverted_index":{"We":[0,55,72,84,110],"propose":[1],"a":[2,22,25,34],"parameter-free":[3],"kernel":[4,14,35],"spectral":[5,15],"clustering":[6,16],"model":[7,23,32],"for":[8,81],"large":[9,52,99,125],"scale":[10,53,100,126],"complex":[11,29],"networks.":[12],"The":[13,31],"(KSC)":[17],"method":[18],"works":[19],"by":[20,92],"creating":[21],"on":[24,113],"subgraph":[26],"of":[27,44,59,70,76,88,117,134],"the":[28,42,51,57,60,63,68,74,86,89,94,132,135],"network.":[30,54],"requires":[33],"function":[36],"which":[37],"can":[38],"have":[39],"parameters":[40],"and":[41,78,107,120],"number":[43,69],"communities":[45],"k":[46],"has":[47],"be":[48],"detected":[49],"in":[50,62],"exploit":[56],"structure":[58],"projections":[61],"eigenspace":[64],"to":[65,130],"automatically":[66],"identify":[67],"clusters.":[71],"use":[73],"concept":[75],"entropy":[77],"balanced":[79],"clusters":[80],"this":[82],"purpose.":[83],"show":[85,131],"effectiveness":[87],"proposed":[90,136],"approach":[91],"comparing":[93],"cluster":[95],"memberships":[96],"w.r.t.":[97],"several":[98,114],"community":[101],"detection":[102],"techniques":[103],"like":[104],"Louvain,":[105],"Infomap":[106],"Bigclam":[108],"methods.":[109],"conducted":[111],"experiments":[112,129],"synthetic":[115],"networks":[116],"varying":[118],"size":[119],"mixing":[121],"parameter":[122],"along":[123],"with":[124],"real":[127],"world":[128],"efficiency":[133],"approach.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
