This software allows to segment multi-dimensional time series into frequent, rare and extreme events in an unsupervised way (without any expertise required in the process). A modeling of the dynamics of these events is presented by a graph and its dynamics (probability of being in an event or not, probability of event changing) thanks to a Hidden Markov Model.
Two variants are available:
- uHMM: a conventional R-package including a tcl/tk interface
- uHMMweb: a demo web software written in R-Shiny
uHMM, a R package and its tcl/tk-interface
The uHMM interface and its R package are distributed on the CRAN website: here.
It can be directly installed from a R session. Open a R session, then execute the following instructions:
How to use it
In a R session, execute:
uHMMweb, an online demo version
The online app uHMMweb has the same features than uHMM. It can be launched here: uHMMweb.