On clustering of non-stationary meteorological time series ∗

@inproceedings{Horenko2008OnCO,
  title={On clustering of non-stationary meteorological time series ∗},
  author={Illia Horenko},
  year={2008}
}
Abstract A method for clustering of multidimensional non-stationary meteorological time series is presented. The approach is based on optimization of the regularized averaged clustering functional describing the quality of data representation in terms of K regression models and a metastable hidden process switching between them. Proposed numerical clustering algorithm is based on application of the finite element method (FEM) to the problem of non-stationary time series analysis. The main… CONTINUE READING
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