{"id":"https://openalex.org/W4244509085","doi":"https://doi.org/10.1109/icpr.2004.1333839","title":"Support vector clustering combined with spectral graph partitioning","display_name":"Support vector clustering combined with spectral graph partitioning","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4244509085","doi":"https://doi.org/10.1109/icpr.2004.1333839"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1333839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1333839","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5079116106","display_name":"JinHyeong Park","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"JinHyeong Park","raw_affiliation_strings":["Department of Computer Science and Engineering, Pennsylvania State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Pennsylvania State University, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032922153","display_name":"Xiang Ji","orcid":"https://orcid.org/0000-0002-7382-0400"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Ji","raw_affiliation_strings":["Department of Computer Science and Engineering, Pennsylvania State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Pennsylvania State University, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046703129","display_name":"Hongyuan Zha","orcid":"https://orcid.org/0000-0001-7493-0911"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongyuan Zha","raw_affiliation_strings":["Department of Computer Science and Engineering, Pennsylvania State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Pennsylvania State University, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064712611","display_name":"R. Kasturi","orcid":null},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Kasturi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Florida, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Florida, USA","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.4896544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"581","last_page":"584 Vol.4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9451000094413757,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9451000094413757,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10908","display_name":"Analytical Chemistry and Chromatography","score":0.9207000136375427,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.873490571975708},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7187642455101013},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.712644636631012},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6885459423065186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5904356241226196},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5593469142913818},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5036222338676453},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.497679740190506},{"id":"https://openalex.org/keywords/graph-energy","display_name":"Graph energy","score":0.4775750935077667},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4675872325897217},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.46747422218322754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3968390226364136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36956679821014404},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33808889985084534},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18270960450172424},{"id":"https://openalex.org/keywords/graph-power","display_name":"Graph power","score":0.1199350357055664},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.06584826111793518}],"concepts":[{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.873490571975708},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7187642455101013},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.712644636631012},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6885459423065186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5904356241226196},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5593469142913818},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5036222338676453},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.497679740190506},{"id":"https://openalex.org/C78913703","wikidata":"https://www.wikidata.org/wiki/Q5597087","display_name":"Graph energy","level":5,"score":0.4775750935077667},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4675872325897217},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.46747422218322754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3968390226364136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36956679821014404},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33808889985084534},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18270960450172424},{"id":"https://openalex.org/C149530733","wikidata":"https://www.wikidata.org/wiki/Q5597091","display_name":"Graph power","level":4,"score":0.1199350357055664},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.06584826111793518},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1333839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1333839","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":9,"referenced_works":["https://openalex.org/W1567201655","https://openalex.org/W1604938182","https://openalex.org/W1943383135","https://openalex.org/W1964357740","https://openalex.org/W2105497548","https://openalex.org/W2121947440","https://openalex.org/W2139850885","https://openalex.org/W6675613107","https://openalex.org/W6680905637"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W2982430984","https://openalex.org/W4388347373","https://openalex.org/W2604585036","https://openalex.org/W125803343","https://openalex.org/W2117632582","https://openalex.org/W1504910619","https://openalex.org/W3163821586","https://openalex.org/W4321153334","https://openalex.org/W4352976663"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2],"new":[3],"support":[4,22],"vector":[5,23],"clustering":[6,78],"(SVC)":[7,11],"strategy":[8],"by":[9],"combining":[10],"with":[12],"spectral":[13],"graph":[14,32],"partitioning":[15,33],"(SGP).":[16],"SVC":[17],"has":[18],"two":[19],"main":[20],"steps:":[21],"computation":[24],"and":[25],"cluster":[26,45,67],"labeling":[27,68],"using":[28,56,69],"adjacency":[29,40,53],"matrix.":[30],"Spectral":[31],"(SGP)":[34],"method":[35,63],"is":[36,48,64],"applied":[37],"to":[38,42,50],"the":[39,44,70,73,77],"matrix":[41],"determine":[43],"labels.":[46],"It":[47],"feasible":[49],"combine":[51],"multiple":[52],"matrices":[54],"computed":[55],"different":[57],"parameters.":[58],"A":[59],"novel":[60],"multi-resolution":[61],"combination":[62],"proposed":[65],"for":[66,72],"SGP":[71],"purpose":[74],"of":[75],"boosting":[76],"performance.":[79]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}