Summary:
Identifying patterns in a pool of event data is hard. Time-series clustering provides a bag of lenses to change the level of detail when viewing and analyzing a collection of event data.
Jonathan Page presented time-series clustering techniques using the
dtwclust package in R and share his experience applying these techniques to
mobile banking data in Kenya.
