{"id":"https://openalex.org/W3091798637","doi":"https://doi.org/10.1145/3421537.3421538","title":"Automatically Finding the Number of Clusters for Large Datasets based on Coresets","display_name":"Automatically Finding the Number of Clusters for Large Datasets based on Coresets","publication_year":2020,"publication_date":"2020-08-22","ids":{"openalex":"https://openalex.org/W3091798637","doi":"https://doi.org/10.1145/3421537.3421538","mag":"3091798637"},"language":"en","primary_location":{"id":"doi:10.1145/3421537.3421538","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3421537.3421538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Big Data and Internet of Things","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/A5071064677","display_name":"Le Hong Trang","orcid":"https://orcid.org/0000-0002-6011-2261"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Le Hong Trang","raw_affiliation_strings":["Ho Chi Minh City University of Technology, VNU-HCM Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Ho Chi Minh City University of Technology, VNU-HCM Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099","https://openalex.org/I123565023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054149930","display_name":"Nguyen Phan Dang Khoa","orcid":null},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Phan Dang Khoa","raw_affiliation_strings":["Ho Chi Minh City University of Technology, VNU-HCM Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Ho Chi Minh City University of Technology, VNU-HCM Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099","https://openalex.org/I123565023"]}]},{"author_position":"last","author":{"id":null,"display_name":"Nguyen Minh Khoi","orcid":null},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Minh Khoi","raw_affiliation_strings":["Ho Chi Minh City University of Technology, VNU-HCM Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"Ho Chi Minh City University of Technology, VNU-HCM Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099","https://openalex.org/I123565023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071064677"],"corresponding_institution_ids":["https://openalex.org/I123565023","https://openalex.org/I47265099"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12360633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9993000030517578,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9912999868392944,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9833999872207642,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7774351835250854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7469913959503174},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.5998709201812744},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5639275312423706},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5399416089057922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5188640356063843},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5103392004966736},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4972694218158722},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49412110447883606},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4854886829853058},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48205432295799255},{"id":"https://openalex.org/keywords/rand-index","display_name":"Rand index","score":0.48145192861557007},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4526413083076477},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4232478141784668},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1517728865146637}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7774351835250854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469913959503174},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.5998709201812744},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5639275312423706},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5399416089057922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5188640356063843},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5103392004966736},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4972694218158722},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49412110447883606},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4854886829853058},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48205432295799255},{"id":"https://openalex.org/C111442797","wikidata":"https://www.wikidata.org/wiki/Q7291446","display_name":"Rand index","level":3,"score":0.48145192861557007},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4526413083076477},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4232478141784668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1517728865146637},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3421537.3421538","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3421537.3421538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W151895561","https://openalex.org/W1520723760","https://openalex.org/W2017927472","https://openalex.org/W2072358441","https://openalex.org/W2133059825","https://openalex.org/W2170590171","https://openalex.org/W2795091454","https://openalex.org/W2802772536"],"related_works":["https://openalex.org/W115686965","https://openalex.org/W2768918307","https://openalex.org/W2110031805","https://openalex.org/W2040020606","https://openalex.org/W4362659915","https://openalex.org/W2113071088","https://openalex.org/W2321543601","https://openalex.org/W1990016983","https://openalex.org/W4398186750","https://openalex.org/W2971767248"],"abstract_inverted_index":{"Finding":[0],"the":[1,29,40,54,63,67,81,85,92,97,114,133,136],"number":[2,30,98],"of":[3,31,39,53,66,99,135],"clusters":[4],"present":[5,36],"in":[6,14],"a":[7,23,37,59,77,117],"dataset":[8],"is":[9,73,89],"fundamental":[10],"and":[11],"also":[12],"important":[13],"data":[15,119],"cluster":[16],"analysis.":[17],"In":[18,33],"this":[19],"paper,":[20],"we":[21,35],"investigate":[22],"visual-based":[24],"method":[25,47],"for":[26,126],"automatically":[27],"determining":[28],"clusters.":[32,100],"particular,":[34],"modification":[38],"ProTraS":[41],"algorithm":[42,56,88],"to":[43,57,91,95,131],"sample":[44,69],"datasets.":[45],"Our":[46],"then":[48,74],"applies":[49],"an":[50],"\"efficient":[51],"formulation\"":[52],"iVAT":[55],"generate":[58],"grayscale":[60],"image":[61,72,94],"presenting":[62],"clustering":[64,106],"tendency":[65],"obtained":[68],"data.":[70],"The":[71],"transformed":[75],"into":[76],"binary":[78,93],"one":[79],"using":[80],"Otsu's":[82],"threshold.":[83],"Finally,":[84],"Watershed":[86],"segmentation":[87],"applied":[90],"obtain":[96],"Experiments":[101],"are":[102,129],"conducted":[103],"on":[104],"both":[105],"benchmarks":[107],"as":[108,110],"well":[109],"datasets":[111],"generated":[112],"by":[113],"HAWKS":[115],"model,":[116],"new":[118],"generator":[120],"that":[121],"has":[122],"been":[123],"recently":[124],"introduced":[125],"clustering.":[127],"Results":[128],"given":[130],"show":[132],"effectiveness":[134],"proposed":[137],"method.":[138]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
