Electronic Journal of Statistics

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

Xiaosun Lu and J. S. Marron

Full-text: Open access

Abstract

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.

Article information

Source
Electron. J. Statist., Volume 8, Number 2 (2014), 1842-1847.

Dates
First available in Project Euclid: 29 October 2014

Permanent link to this document
https://projecteuclid.org/euclid.ejs/1414588171

Digital Object Identifier
doi:10.1214/14-EJS937D

Mathematical Reviews number (MathSciNet)
MR3273603

Zentralblatt MATH identifier
1305.62014

Keywords
Curve registration distance weighted discrimination clustering functional data analysis

Citation

Lu, Xiaosun; Marron, J. S. Analysis of juggling data: Object oriented data analysis of clustering in acceleration functions. Electron. J. Statist. 8 (2014), no. 2, 1842--1847. doi:10.1214/14-EJS937D. https://projecteuclid.org/euclid.ejs/1414588171


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References

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See also

  • Related item: Ramsay, J. O., Gribble, P., and Kurtek, S. (2014). Description and processing of functional data arising from juggling trajectories. Electron. J. Statist. 8 1811–1816.