{"id":"https://openalex.org/W1994444733","doi":"https://doi.org/10.1109/icassp.2010.5495653","title":"Swift: Scalable weighted iterative sampling for flow cytometry clustering","display_name":"Swift: Scalable weighted iterative sampling for flow cytometry clustering","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1994444733","doi":"https://doi.org/10.1109/icassp.2010.5495653","mag":"1994444733"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-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/A5033760431","display_name":"Iftekhar Naim","orcid":"https://orcid.org/0000-0002-2119-3273"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Iftekhar Naim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA","Department of Electrical and Computer Engineering, University of Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103438589","display_name":"Suprakash Datta","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Suprakash Datta","raw_affiliation_strings":["Department of Computer Science and Engineering, York University, Toronto, Canada","Dept. of Computer Science & Engineering, York University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"Dept. of Computer Science & Engineering, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705959","display_name":"Gaurav Sharma","orcid":"https://orcid.org/0000-0001-9735-9519"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gaurav Sharma","raw_affiliation_strings":["Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA","Department of Electrical and Computer Engineering, University of Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029143242","display_name":"James S. Cavenaugh","orcid":"https://orcid.org/0000-0002-7072-2418"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James S. Cavenaugh","raw_affiliation_strings":["Center for Vaccine Biology and Immunology, University of Rochester, Rochester, NY, USA","Center for Vaccine Biology and Immunology, University of Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Center for Vaccine Biology and Immunology, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"Center for Vaccine Biology and Immunology, University of Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078753422","display_name":"Tim R. Mosmann","orcid":"https://orcid.org/0000-0001-9753-6941"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tim R. Mosmann","raw_affiliation_strings":["Center for Vaccine Biology and Immunology, University of Rochester, Rochester, NY, USA","Center for Vaccine Biology and Immunology, University of Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Center for Vaccine Biology and Immunology, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"Center for Vaccine Biology and Immunology, University of Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033760431"],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":0.6777,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.68269767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"509","last_page":"512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9930999875068665,"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"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9930999875068665,"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/computer-science","display_name":"Computer science","score":0.7477017641067505},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.705454409122467},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6992205381393433},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6018924713134766},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5799371600151062},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5384440422058105},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5057640075683594},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.49124783277511597},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4716559946537018},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.4475652277469635},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33703091740608215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31389978528022766},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19477733969688416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7477017641067505},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.705454409122467},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6992205381393433},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6018924713134766},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5799371600151062},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5384440422058105},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5057640075683594},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.49124783277511597},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4716559946537018},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.4475652277469635},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33703091740608215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31389978528022766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19477733969688416},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"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":2,"locations":[{"id":"doi:10.1109/icassp.2010.5495653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.299.5969","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.5969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.rochester.edu/~gsharma/papers/Naim_SWIFT_FCClustering_ICASSP2010.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5299999713897705},{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.41999998688697815}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310246","display_name":"University of Rochester","ror":"https://ror.org/022kthw22"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1570317704","https://openalex.org/W1579271636","https://openalex.org/W1592090717","https://openalex.org/W1982230396","https://openalex.org/W2003144493","https://openalex.org/W2042829929","https://openalex.org/W2047708805","https://openalex.org/W2049633694","https://openalex.org/W2097446839","https://openalex.org/W2118250025","https://openalex.org/W2161513935","https://openalex.org/W2488678869","https://openalex.org/W4248463836","https://openalex.org/W6635595544"],"related_works":["https://openalex.org/W1721599012","https://openalex.org/W2901858382","https://openalex.org/W4384273653","https://openalex.org/W4372063917","https://openalex.org/W4232399475","https://openalex.org/W3090632489","https://openalex.org/W2953080444","https://openalex.org/W1527023294","https://openalex.org/W4387164954","https://openalex.org/W2056895937"],"abstract_inverted_index":{"Flow":[0],"cytometry":[1,179],"(FC)":[2],"is":[3,39],"a":[4,25,81,97,125,148],"powerful":[5],"technology":[6],"for":[7,28,159],"rapid":[8],"multivariate":[9,34,84],"analysis":[10],"and":[11,66,101,176],"functional":[12],"discrimination":[13],"of":[14,46,68,99,116,141,162,169],"cells.":[15],"Current":[16],"FC":[17],"platforms":[18],"generate":[19],"large,":[20],"high-dimensional":[21],"datasets":[22],"which":[23],"pose":[24],"significant":[26,135],"challenge":[27],"traditional":[29],"manual":[30],"bivariate":[31],"analysis.":[32],"Automated":[33],"clustering,":[35],"though":[36],"highly":[37],"desirable,":[38],"also":[40],"stymied":[41],"by":[42,62,79],"the":[43,58,63,69,89,94,110,120,138,167],"critical":[44],"requirement":[45],"identifying":[47],"rare":[48],"populations":[49],"that":[50],"form":[51],"rather":[52],"small":[53,163],"clusters,":[54],"in":[55,114,150],"addition":[56],"to":[57,108,130],"computational":[59],"challenges":[60,78],"posed":[61],"large":[64],"size":[65],"dimensionality":[67],"datasets.":[70,180],"In":[71,88,119],"this":[72],"paper,":[73],"we":[74,92,123],"address":[75],"these":[76],"twin":[77],"developing":[80],"two-stage":[82],"scalable":[83],"parametric":[85],"clustering":[86],"algorithm.":[87],"first":[90],"stage,":[91,122],"model":[93],"data":[95,175],"as":[96],"mixture":[98,111,154],"Gaussians":[100],"use":[102],"an":[103],"iterative":[104],"weighted":[105],"sampling":[106],"technique":[107,129],"estimate":[109],"components":[112,133],"successively":[113],"order":[115],"decreasing":[117],"size.":[118],"second":[121],"apply":[124],"graph-based":[126],"hierarchical":[127],"merging":[128],"combine":[131],"Gaussian":[132],"with":[134],"overlaps":[136],"into":[137],"final":[139],"number":[140],"desired":[142],"clusters.":[143],"The":[144],"resulting":[145],"algorithm":[146],"offers":[147],"reduction":[149],"complexity":[151],"over":[152],"conventional":[153],"modeling":[155],"while":[156],"simultaneously":[157],"allowing":[158],"better":[160],"detection":[161],"populations.":[164],"We":[165],"demonstrate":[166],"effectiveness":[168],"our":[170],"method":[171],"both":[172],"on":[173],"simulated":[174],"actual":[177],"flow":[178]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
