“Permutation distribution clustering is a complexity-based approach to clustering time series. The dissimilarity of time series is formalized as the squared Hellinger distance between the permutation distribution of embedded time series. The resulting distance measure has linear time complexity, is invariant to phase and monotonic transformations, and robust to outliers.” (Brandmaier et al., 2015)
PDC was cited in the context of modeling the predictability of infectious disease outbreaks, clustering of river stream flows, volatility of financial markets, in a decision support systems for agriculture and farming, in investigating Antarctic cryoconite holes.
To install the packagr from CRAN, simply type
install.packages("pdc")
To install the latest pdc package directly from this repository, copy the following line into R:
library(devtools)
devtools::install_github("brandmaier/pdc")
Please see the online package documentation here: https://brandmaier.github.io/pdc/.
Brandmaier, A. M. (2015). pdc: An R package for complexity-based clustering of time series. Journal of Statistical Software, 67. doi:10.18637/jss.v067.i05