Title: Phase and amplitude-based clustering for functional data
Authors: Slaets, Leen ×
Claeskens, Gerda
Hubert, Mia #
Issue Date: Jul-2012
Publisher: North-Holland Pub. Co.
Series Title: Computational Statistics & Data Analysis vol:56 issue:7 pages:2360-2374
Abstract: Functional data that are not perfectly aligned in the sense of not showing peaks and valleys at the precise same locations possess phase variation. This is commonly addressed by preprocessing the data via a warping procedure. As opposed to treating phase variation as a nuisance effect, it is advantageous to recognize it as a possible important source of information for clustering. It is illustrated how results from a multiresolution warping procedure can be used for clustering. This approach allows us to address detailed questions to find local clusters that differ in phase, or clusters that differ in amplitude, or both simultaneously.
ISSN: 0167-9473
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Center for Operations Research and Business Statistics (ORSTAT), Leuven
Leuven Statistics Research Centre (LStat)
Statistics Section
× corresponding author
# (joint) last author

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