Simultaneous Clustering and Segmentation for Functional Data

@inproceedings{Hugueney2009SimultaneousCA,
  title={Simultaneous Clustering and Segmentation for Functional Data},
  author={Bernard Hugueney and Georges H{\'e}brail and Yves Lechevallier and Fabrice Rossi},
  booktitle={ESANN},
  year={2009}
}
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a piecewise constant prototype. The total number of segments in the prototypes, P , is chosen by the user and optimally distributed into the clusters via two dynamic programming algorithms. 

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