{"id":"https://openalex.org/W2963720402","doi":"https://doi.org/10.1109/icassp.2014.6854162","title":"Spectral clustering with imbalanced data","display_name":"Spectral clustering with imbalanced data","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2963720402","doi":"https://doi.org/10.1109/icassp.2014.6854162","mag":"2963720402"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5004836994","display_name":"Jing Qian","orcid":"https://orcid.org/0000-0002-3085-8994"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Qian","raw_affiliation_strings":["Boston University, Boston, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston University, Boston, MA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048704387","display_name":"Venkatesh Saligrama","orcid":"https://orcid.org/0000-0002-0675-2268"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Venkatesh Saligrama","raw_affiliation_strings":["Boston University, Boston, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston University, Boston, MA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"3057","last_page":"3061"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9919000267982483,"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":0.9919000267982483,"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":0.9883000254631042,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9678000211715698,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7666370868682861},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6389470100402832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5695421695709229},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5344907641410828},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5163835287094116},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4947499632835388},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4761134088039398},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4502871632575989},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4253847002983093},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3930400609970093},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3511800467967987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2885884940624237},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27260923385620117}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7666370868682861},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6389470100402832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5695421695709229},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5344907641410828},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5163835287094116},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4947499632835388},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4761134088039398},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4502871632575989},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4253847002983093},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3930400609970093},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3511800467967987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2885884940624237},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27260923385620117},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W47413040","https://openalex.org/W1543963486","https://openalex.org/W1550767826","https://openalex.org/W1578099820","https://openalex.org/W1852048826","https://openalex.org/W1969583663","https://openalex.org/W1971758446","https://openalex.org/W2011832962","https://openalex.org/W2048000333","https://openalex.org/W2057463094","https://openalex.org/W2088844265","https://openalex.org/W2099097464","https://openalex.org/W2101618025","https://openalex.org/W2105465566","https://openalex.org/W2105543877","https://openalex.org/W2113513143","https://openalex.org/W2118978333","https://openalex.org/W2120189049","https://openalex.org/W2121947440","https://openalex.org/W2125531986","https://openalex.org/W2130817087","https://openalex.org/W2132914434","https://openalex.org/W2136504847","https://openalex.org/W2136935487","https://openalex.org/W2137795620","https://openalex.org/W2140529807","https://openalex.org/W2141923507","https://openalex.org/W2152322845","https://openalex.org/W2153233077","https://openalex.org/W2165874743","https://openalex.org/W2169600004","https://openalex.org/W2170743809","https://openalex.org/W2735310850","https://openalex.org/W3099145703","https://openalex.org/W3120740533","https://openalex.org/W6632620505","https://openalex.org/W6675024448","https://openalex.org/W6680140577","https://openalex.org/W6741194625"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2393816671","https://openalex.org/W2158836806","https://openalex.org/W2083665254","https://openalex.org/W1926736923","https://openalex.org/W1482912984"],"abstract_inverted_index":{"Spectral":[0],"clustering":[1,22],"is":[2,95],"sensitive":[3],"to":[4,25,55,77,92,109],"how":[5],"graphs":[6,30,66],"are":[7],"constructed":[8],"from":[9],"data.":[10,59],"In":[11],"particular,":[12],"if":[13],"the":[14,121],"data":[15,118],"has":[16],"proximal":[17],"and":[18,35,116],"imbalanced":[19,58],"clusters,":[20],"spectral":[21],"can":[23],"lead":[24],"poor":[26],"performance":[27],"on":[28,53,72,114],"well-known":[29],"such":[31],"as":[32],"k-NN,":[33],"\u03f5-neighborhood":[34],"full-RBF":[36],"graphs.":[37],"We":[38,103],"propose":[39],"a":[40,63,73,79],"graph":[41],"partitioning":[42],"problem":[43,94],"that":[44],"seeks":[45],"minimum":[46,50],"cut":[47,107],"partitions":[48],"under":[49],"size":[51],"constraints":[52],"clusters":[54],"deal":[56],"with":[57],"Our":[60],"approach":[61],"parameterizes":[62],"family":[64],"of":[65,81,88,123],"by":[67,98],"adaptively":[68],"modulating":[69],"node":[70,75],"degrees":[71],"fixed":[74],"set,":[76],"yield":[78],"set":[80],"parameter":[82],"dependent":[83],"cuts":[84],"reflecting":[85],"varying":[86],"levels":[87],"imbalance.":[89],"The":[90],"solution":[91],"our":[93,111,124],"then":[96],"obtained":[97],"optimizing":[99],"over":[100],"these":[101],"parameters.":[102],"present":[104],"asymptotic":[105],"limit":[106],"analysis":[108],"justify":[110],"approach.":[112],"Experiments":[113],"synthetic":[115],"real":[117],"sets":[119],"demonstrate":[120],"superiority":[122],"method.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}