Clustering Spatially Correlated Functional Data

Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)


In this paper we discuss and compare two clustering strategies: a hierarchical clustering and a dynamic clustering method for spatially correlated functional data. Both the approaches aim to obtain clusters which are internally homogeneous in terms of their spatial correlation structure. With this scope they incorporate the spatial information into the clustering process by considering, in a different manner, a measure of spatial association ables to emphasize the average spatial dependence among curves: the trace-variogram function.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Seconda Universitá degli Studi di NapoliNaplesItaly
  2. 2.Universidad Nacional de ColombiaBogotaColombia
  3. 3.Universitat Politécnica de CatalunyaBarcelonaSpain

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