文章基本信息

标题：Analysis of juggling data: Object oriented data analysis of clustering in acceleration functions
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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.