{"id":"https://openalex.org/W4206782772","doi":"https://doi.org/10.1145/3501409.3501648","title":"Outlier Detection Method based on Improved K-means Clustering Algorithm","display_name":"Outlier Detection Method based on Improved K-means Clustering Algorithm","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W4206782772","doi":"https://doi.org/10.1145/3501409.3501648"},"language":"en","primary_location":{"id":"doi:10.1145/3501409.3501648","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501648","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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/A5091311315","display_name":"Wenfen Liu","orcid":"https://orcid.org/0000-0001-5601-8347"},"institutions":[{"id":"https://openalex.org/I4387153915","display_name":"Guilin University","ror":"https://ror.org/00jbpxw47","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153915"]},{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfen Liu","raw_affiliation_strings":["Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology Guilin, Guangxi, China School of Computer and Information Security, Guilin University of Electronic Technology, Guilin, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology Guilin, Guangxi, China School of Computer and Information Security, Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I4387153915","https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003449839","display_name":"Nan Wang","orcid":"https://orcid.org/0000-0002-4562-3506"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Wang","raw_affiliation_strings":["Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Guilin, Guangxi, China School of Computer and Information Security, Guilin University of Electronic Technology, Guilin, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Guilin, Guangxi, China School of Computer and Information Security, Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101432211","display_name":"Yuehua Huang","orcid":"https://orcid.org/0000-0002-8949-6940"},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]},{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuehua Huang","raw_affiliation_strings":["College of Computer Science and Engineering, Guilin University of Aerospace Technology, Guilin, Guangxi, China School of Information and Communication Guilin University of Electronic Technology, Guilin, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Guilin University of Aerospace Technology, Guilin, Guangxi, China School of Information and Communication Guilin University of Electronic Technology, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I3129996945","https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4396,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64822695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1350","last_page":"1355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9703999757766724,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/outlier","display_name":"Outlier","score":0.8274054527282715},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7999259233474731},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.6836560964584351},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6178902983665466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5726345777511597},{"id":"https://openalex.org/keywords/k-medians-clustering","display_name":"k-medians clustering","score":0.5089271068572998},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5027999877929688},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47791561484336853},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.46432724595069885},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4565143585205078},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4397165775299072},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.432238906621933},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41845250129699707},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4004594683647156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36293503642082214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34519022703170776},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.2974783182144165},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09510838985443115}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8274054527282715},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7999259233474731},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6836560964584351},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6178902983665466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5726345777511597},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.5089271068572998},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5027999877929688},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47791561484336853},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.46432724595069885},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4565143585205078},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4397165775299072},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.432238906621933},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41845250129699707},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4004594683647156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36293503642082214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34519022703170776},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.2974783182144165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09510838985443115},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3501409.3501648","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501648","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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":9,"referenced_works":["https://openalex.org/W2019014808","https://openalex.org/W2029073757","https://openalex.org/W2272004637","https://openalex.org/W2783582361","https://openalex.org/W2981838741","https://openalex.org/W3128465814","https://openalex.org/W3145543370","https://openalex.org/W3155036456","https://openalex.org/W4254182148"],"related_works":["https://openalex.org/W4313069709","https://openalex.org/W2337929971","https://openalex.org/W3183283580","https://openalex.org/W4250175685","https://openalex.org/W2575052681","https://openalex.org/W2348044294","https://openalex.org/W2409851322","https://openalex.org/W2175385805","https://openalex.org/W2994140543","https://openalex.org/W2016708865"],"abstract_inverted_index":{"Outlier":[0],"detection":[1,17,45],"is":[2,94,118],"one":[3],"of":[4,8,43,64,76,129,142,152,154,161],"the":[5,27,68,73,77,81,84,92,98,101,105,110,112,121,126,130,133,139,144,150,159,175],"important":[6],"methods":[7,18],"data":[9,78,131,169,187],"mining":[10],"and":[11,30,61,164,181],"analysis.":[12],"The":[13,86],"previous":[14],"K-means":[15,50,156],"outlier":[16,44,122],"are":[19,89],"easy":[20],"to":[21,83,96],"be":[22],"misled":[23],"by":[24],"outliers":[25,33,60,166,180],"in":[26,80,115,132,168],"clustering":[28,51,162],"process":[29],"cannot":[31],"detect":[32,179],"well.":[34],"To":[35],"solve":[36],"this":[37],"problem,":[38],"we":[39],"propose":[40],"a":[41],"method":[42,54,148],"based":[46],"on":[47,185],"an":[48],"improved":[49],"algorithm.":[52],"This":[53,147],"adaptively":[55],"detects":[56],"edge":[57,62,87,102],"points":[58,63,79,88,103],"(including":[59],"other":[65],"clusters)":[66],"through":[67],"local":[69],"threshold":[70],"obtained":[71],"from":[72],"distance":[74,128],"distribution":[75],"cluster":[82,117,123,134],"centroid.":[85],"ignored":[90],"when":[91],"centroid":[93,106],"updated":[95],"avoid":[97],"situation":[99],"that":[100,174],"mislead":[104],"update.":[107],"After":[108],"completing":[109],"clustering,":[111],"farthest":[113],"point":[114],"each":[116],"put":[119],"into":[120],"iteratively.":[124],"When":[125],"average":[127],"reaches":[135,138],"stability":[136],"or":[137],"maximum":[140],"number":[141],"iterations,":[143],"iteration":[145,163],"ends.":[146],"retains":[149],"ease":[151],"use":[153],"traditional":[155],"which":[157],"accelerates":[158],"speed":[160],"finds":[165],"accurately":[167],"sets.":[170,188],"Experimental":[171],"results":[172,184],"show":[173],"algorithm":[176],"can":[177],"effectively":[178],"have":[182],"good":[183],"multiple":[186]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
