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  • 标题:Analysis of juggling data: Object oriented data analysis of clustering in acceleration functions
  • 本地全文:下载
  • 作者:Xiaosun Lu ; J. S. Marron
  • 期刊名称:Electronic Journal of Statistics
  • 印刷版ISSN:1935-7524
  • 出版年度:2014
  • 卷号:8
  • 期号:2
  • 页码:1842-1847
  • DOI:10.1214/14-EJS937D
  • 语种:English
  • 出版社:Institute of Mathematical Statistics
  • 摘要:This paper describes an analysis of acceleration variability among the juggling cycles. The Fisher Rao curve registration is used for curve alignment. Five different choices of data objects are considered in this paper. We show that one of these choices of data objects leads to a much better clustering into two distinct types of juggling cycles than the other choices.
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