{"id":"https://openalex.org/W2540307294","doi":"https://doi.org/10.1109/icassp.2017.7953382","title":"Compressive K-means","display_name":"Compressive K-means","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2540307294","doi":"https://doi.org/10.1109/icassp.2017.7953382","mag":"2540307294"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7953382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5003197490","display_name":"Nicolas Keriven","orcid":"https://orcid.org/0000-0002-3846-8763"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Keriven","raw_affiliation_strings":["INRIA Rennes - Bretagne Atlantique, Campus de Beaulieu, France","Universit\u00e9 Rennes 1, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA Rennes - Bretagne Atlantique, Campus de Beaulieu, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Universit\u00e9 Rennes 1, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101521136","display_name":"Nicolas Tremblay","orcid":"https://orcid.org/0000-0001-5776-0770"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Tremblay","raw_affiliation_strings":["CNRS, GIPSA-lab, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, GIPSA-lab, France","institution_ids":["https://openalex.org/I4210124956","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057566188","display_name":"Yann Traonmilin","orcid":"https://orcid.org/0000-0003-1826-4760"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yann Traonmilin","raw_affiliation_strings":["INRIA Rennes - Bretagne Atlantique, Campus de Beaulieu, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA Rennes - Bretagne Atlantique, Campus de Beaulieu, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041230403","display_name":"R\u00e9mi Gribonval","orcid":"https://orcid.org/0000-0002-9450-8125"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Remi Gribonval","raw_affiliation_strings":["INRIA Rennes - Bretagne Atlantique, Campus de Beaulieu, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA Rennes - Bretagne Atlantique, Campus de Beaulieu, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1989,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.9412738,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6369","last_page":"6373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"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":0.9959999918937683,"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/sketch","display_name":"Sketch","score":0.7815558910369873},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.73313307762146},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.68731689453125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6475135087966919},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5133720636367798},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.47094643115997314},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45439082384109497},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4141605496406555},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4107329845428467},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40308305621147156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40231943130493164},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28813761472702026},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.18991753458976746},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1343403458595276}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7815558910369873},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.73313307762146},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.68731689453125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475135087966919},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5133720636367798},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.47094643115997314},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45439082384109497},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4141605496406555},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4107329845428467},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40308305621147156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40231943130493164},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28813761472702026},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.18991753458976746},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1343403458595276},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7953382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W821744907","https://openalex.org/W1627400044","https://openalex.org/W1981773323","https://openalex.org/W2004355640","https://openalex.org/W2022858489","https://openalex.org/W2055663168","https://openalex.org/W2066941820","https://openalex.org/W2073459066","https://openalex.org/W2086959852","https://openalex.org/W2097665501","https://openalex.org/W2119456804","https://openalex.org/W2119499160","https://openalex.org/W2124331852","https://openalex.org/W2135940344","https://openalex.org/W2144902422","https://openalex.org/W2145096794","https://openalex.org/W2150593711","https://openalex.org/W2159563318","https://openalex.org/W2164452299","https://openalex.org/W2165874743","https://openalex.org/W2252984395","https://openalex.org/W2274086169","https://openalex.org/W2405052345","https://openalex.org/W2414043010","https://openalex.org/W2544661862","https://openalex.org/W2794589353","https://openalex.org/W2950476412","https://openalex.org/W2963668836","https://openalex.org/W2963860509","https://openalex.org/W4244030505","https://openalex.org/W4320931877","https://openalex.org/W6636759986","https://openalex.org/W6651351218","https://openalex.org/W6668990524","https://openalex.org/W6674684338","https://openalex.org/W6678421882","https://openalex.org/W6679921305","https://openalex.org/W6681302627","https://openalex.org/W6691212913","https://openalex.org/W6713655233","https://openalex.org/W6715815293","https://openalex.org/W6929203867","https://openalex.org/W6997266731"],"related_works":["https://openalex.org/W3208326136","https://openalex.org/W3002028984","https://openalex.org/W1457719682","https://openalex.org/W2766223874","https://openalex.org/W2205234526","https://openalex.org/W2885933207","https://openalex.org/W1529516165","https://openalex.org/W2243216484","https://openalex.org/W2962719360","https://openalex.org/W2124219296"],"abstract_inverted_index":{"The":[0],"Lloyd-Max":[1,97],"algorithm":[2],"is":[3,87,107],"a":[4,24,35,39,57,113],"classical":[5],"approach":[6],"to":[7,54,61,110],"perform":[8],"K-means":[9,28],"clustering.":[10],"Unfortunately,":[11],"its":[12],"cost":[13],"becomes":[14],"prohibitive":[15],"as":[16],"the":[17,44,62,67,73,76,80,82,91,94],"training":[18,45],"dataset":[19,115],"grows":[20],"large.":[21],"We":[22,47],"propose":[23],"compressive":[25],"version":[26],"of":[27,43,64,72,75,85,90,93,116,131,137],"(CKM),":[29],"that":[30,50,105,125],"estimates":[31],"cluster":[32],"centers":[33],"from":[34,38],"sketch,":[36,81],"i.e.":[37],"drastically":[40],"compressed":[41],"representation":[42],"dataset.":[46,78,95],"demonstrate":[48,104],"empirically":[49],"CKM":[51,86,106,126,147],"performs":[52],"similarly":[53],"Lloyd-Max,":[55,138],"for":[56],"sketch":[58],"size":[59,74,92],"proportional":[60],"number":[63],"centroids":[65],"times":[66],"ambient":[68],"dimension,":[69],"and":[70],"independent":[71,89],"original":[77],"Given":[79],"computational":[83],"complexity":[84],"also":[88],"Unlike":[96],"which":[98],"requires":[99],"several":[100],"replicates,":[101],"we":[102,123],"further":[103],"almost":[108],"insensitive":[109],"initialization.":[111],"For":[112],"large":[114],"10":[117],"<sup":[118],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[119],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">7</sup>":[120],"data":[121],"points,":[122],"show":[124],"can":[127],"run":[128],"two":[129],"orders":[130],"magnitude":[132],"faster":[133],"than":[134],"five":[135],"replicates":[136],"with":[139],"similar":[140],"clustering":[141],"performance":[142],"on":[143,152],"artificial":[144],"data.":[145],"Finally,":[146],"achieves":[148],"lower":[149],"classification":[150],"errors":[151],"handwritten":[153],"digits":[154],"classification.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}