A package for stationary time series clustering
Pablo Montero Manso · 2013
An R package for stationary time series clustering is presented. Its aim is to provide the R community with the implementation of well-established peer-reviewed time series dissimilarity measures and specific clustering methods for research and other purposes. This work has been motivated by the inexistence of a previous packages targeting the problem and the certainty of its demand. Special emphasis in the interoperability with existing general purpose clustering methods has been made, along with the ease of use. All dissimilarity functions are accessible individually for an easier extension and use out of the clustering context.