K-means alignment for curve clustering
Code:
13/2008
Title:
K-means alignment for curve clustering
Date:
Monday 30th June 2008
Author(s):
Sangalli, Laura Maria; Secchi, Piercesare; Vantini, Simone; Vitelli, Valeria
Abstract:
We deal with the problem of curve clustering when curves are mis- aligned. We propose a k-means alignment algorithm which jointly cluster and align the curves. We illustrate the procedure via simulation studies and applications to real data.
This report, or a modified version of it, has been also submitted to, or published on
Laura M. Sangalli, Piercesare Secchi, Simone Vantini and Valeria Vitelli (2010), K-means alignment for curve clustering, Computational Statistics and Data Analysis, Vol. 54, pp. 1219-1233.
Laura M. Sangalli, Piercesare Secchi, Simone Vantini and Valeria Vitelli (2010), K-means alignment for curve clustering, Computational Statistics and Data Analysis, Vol. 54, pp. 1219-1233.