# On clustering of non-stationary meteorological time series ∗

@inproceedings{Horenko2008OnCO, title={On clustering of non-stationary meteorological time series ∗}, author={Illia Horenko}, year={2008} }

- Published 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