Functional data clustering: a survey

Clustering techniques for functional data are reviewed. Four groups of clustering algorithms for functional data are proposed. The first group consists of methods working directly on the evaluation points of the curves. The second groups is defined by filtering methods which first approximate the cu...

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Bibliographic Details
Published in:	Advances in data analysis and classification Vol. 8; no. 3; pp. 231 - 255
Main Authors:	Jacques, Julien, Preda, Cristian
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2014 Springer Verlag
Subjects:	Chemistry and Earth Sciences Computer Science Data Mining and Knowledge Discovery Economics Finance Health Sciences Humanities Insurance Law Management Mathematics Mathematics and Statistics Medicine Physics Regular Article Statistical Theory and Methods Statistics Statistics for Business Statistics for Engineering Statistics for Life Sciences Statistics for Social Sciences Statistics Theory 62M99 Basis expansion Functional data 62-07 62H30 Clustering Functional principal component analysis
ISSN:	1862-5347, 1862-5355
Online Access:	Get full text
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