{"id":"https://openalex.org/W3015702619","doi":"https://doi.org/10.23919/icact48636.2020.9061522","title":"Improving K-Mean Method by Finding Initial Centroid Points","display_name":"Improving K-Mean Method by Finding Initial Centroid Points","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3015702619","doi":"https://doi.org/10.23919/icact48636.2020.9061522","mag":"3015702619"},"language":"en","primary_location":{"id":"doi:10.23919/icact48636.2020.9061522","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact48636.2020.9061522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 22nd International Conference on Advanced Communication Technology (ICACT)","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/A5050036695","display_name":"Andleeb Aslam","orcid":null},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Andleeb Aslam","raw_affiliation_strings":["Department of Computer and Software Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050012170","display_name":"Usman Qamar","orcid":"https://orcid.org/0000-0003-2361-2061"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Usman Qamar","raw_affiliation_strings":["Department of Computer and Software Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077314872","display_name":"Reda Ayesha Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Reda Ayesha Khan","raw_affiliation_strings":["Department of Computer and Software Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063663359","display_name":"Pakizah Saqib","orcid":null},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Pakizah Saqib","raw_affiliation_strings":["Department of Computer and Software Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5050036695"],"corresponding_institution_ids":["https://openalex.org/I929597975"],"apc_list":null,"apc_paid":null,"fwci":0.6839,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7101062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"624","last_page":"627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9933000206947327,"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":0.9933000206947327,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9807999730110168,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9699000120162964,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.8902019262313843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6805025935173035},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.6672666668891907},{"id":"https://openalex.org/keywords/mean-value","display_name":"Mean value","score":0.6432159543037415},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5606175065040588},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.5525479316711426},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5011618137359619},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4460389316082001},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4267197847366333},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39401331543922424},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22320044040679932},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.21792906522750854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.21666279435157776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19443413615226746}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.8902019262313843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6805025935173035},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6672666668891907},{"id":"https://openalex.org/C2988626262","wikidata":"https://www.wikidata.org/wiki/Q2796622","display_name":"Mean value","level":2,"score":0.6432159543037415},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5606175065040588},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.5525479316711426},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5011618137359619},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4460389316082001},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4267197847366333},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39401331543922424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22320044040679932},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.21792906522750854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.21666279435157776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19443413615226746}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icact48636.2020.9061522","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact48636.2020.9061522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 22nd International Conference on Advanced Communication Technology (ICACT)","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":11,"referenced_works":["https://openalex.org/W1488157488","https://openalex.org/W1978489625","https://openalex.org/W2175385805","https://openalex.org/W2329655506","https://openalex.org/W2345263603","https://openalex.org/W2576958987","https://openalex.org/W2759884981","https://openalex.org/W2767123504","https://openalex.org/W2889480665","https://openalex.org/W2919690102","https://openalex.org/W2951019399"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2023748438","https://openalex.org/W2124385053","https://openalex.org/W2169903804","https://openalex.org/W3038204311","https://openalex.org/W2186101196","https://openalex.org/W3039354370","https://openalex.org/W2387908128","https://openalex.org/W2981254835","https://openalex.org/W3015702619"],"abstract_inverted_index":{"The":[0],"paper":[1,26],"is":[2,67,79,94,103,145],"concerned":[3],"with":[4,49],"Improving":[5],"k-Mean":[6],"Algorithm":[7],"in":[8,86,135],"terms":[9],"of":[10,35,52,76,92,100,116],"accuracy":[11,144],"by":[12],"selecting":[13],"the":[14,21,33,40,45,50,55,74,87,90,98,128,131,139,143],"best":[15],"initial":[16,36,82,106],"seed":[17],"points":[18],"based":[19,43,59],"on":[20,44,60],"provided":[22],"k":[23,47,70,93],"value.":[24],"This":[25],"presents":[27],"two":[28],"modified":[29,136],"k-mean":[30,119,125,137,141],"method":[31,42,66,89,126],"for":[32],"selection":[34],"centroid":[37,83,107],"points.":[38,84,108],"In":[39],"first":[41],"calculated":[46,62],"value":[48],"help":[51],"elbow":[53],"method,":[54],"original":[56,124,140],"sorted":[57],"data":[58],"distances":[61],"using":[63],"Euclidean":[64],"distance":[65,113,129],"divided":[68],"into":[69],"equal":[71],"partitions.":[72],"And":[73,85],"mean":[75,99],"each":[77,101],"partition":[78,102],"considered":[80,104],"as":[81,105,127],"second":[88],"number":[91,115],"chosen":[95],"randomly":[96],"and":[97,114,142],"We":[109],"compared":[110],"within":[111,130],"cluster":[112],"iterations.":[117],"Modified":[118],"methods":[120],"are":[121,133],"better":[122],"than":[123,138],"clusters":[132],"less":[134],"also":[146],"better.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}