clustering models based on Gaussian mixture models (GMMs) which are fitted with the use of the recently developed variational ….e., the temporal usage behaviour, and developing clustering algorithms suitable for high dimensional data based on the use of …

consists to perform a preliminary clustering algorithm to guess the mixture component of each observation. Conditional … investigate the expected L1-error of the resulting estimates with regards to the performance of the clustering algorithm. In … assumptions on the clustering method used. Finally, we offer examples of clustering algorithms verifying the required assumptions …