Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation

Details Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation

2010-04-03

arxiv.org/abs/1004.0456v1

Neurocomputing, Volume 73, Issues 7-9, March 2010, Pages 1125-1141

Statistics

Machine Learning

Scientific paper

10.1016/j.neucom.2009.11.022

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 simple prototype (e.g., piecewise constant). The total number of segments in the prototypes, $P$, is chosen by the user and optimally distributed among the clusters via two dynamic programming algorithms. The practical relevance of the method is shown on two real world datasets.

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