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  • 标题:The Application of Binary k-Means Clustering to Identify Groups of Road Traffic Accident’s Factors in United Kingdom
  • 本地全文:下载
  • 作者:Nur Atiqah Binti Hamzah ; Sabariah Binti Saharan ; Sie Long Kek
  • 期刊名称:Research Journal of Applied Sciences
  • 印刷版ISSN:1815-932X
  • 电子版ISSN:1993-6079
  • 出版年度:2020
  • 卷号:15
  • 期号:4
  • 页码:135-138
  • DOI:10.36478/rjasci.2020.135.138
  • 语种:English
  • 出版社:Medwell Journals
  • 摘要:Cluster analysis is a formal study of methodsand algorithms for natural grouping or clustering ofobjects according to measured or perceived intrinsiccharacteristics or similarities in each objects. The patternof the each cluster and the relationship for each clusterwere identified and then relate with the frequency ofoccurrence in the data set. This study aims to apply one ofwell-known clustering techniques, k-means clustering intobinary data set in order to cluster the factors of road trafficaccidents as the number of road accidents is increasingfrom day to day. Although there might be a list ofexpected factors that causing the road traffic accidents,none of us known which group of factors that has highestcontribution that lead to road accident. By using k-meansclustering, the patterns of road traffic accidents factorswere identified.
  • 关键词:Clustering;k-means clustering;binary data;similarities;road accidents
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