Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.
Updated constructor for ClustData to have delta_t as an optional input argument, similar to the constructor for ClustDataMerged
Updated run_clust() and run_clust_method() to have them more structured by functionality
Fixed bug in run_clust() -- output of ClustResultAll didn't work before.
If #83 is an easy fix ( move round.() from run_clust to CapacityExpansion into the load data process), could you add it there? If it somehow causes trouble to move, let's just keep it as is.
Have a look at this one, and after we've merged to dev here, I'll make a PR on CapacityExpansion.jl to adjust.
delta_t
as an optional input argument, similar to the constructor for ClustDataMergedIf #83 is an easy fix ( move
round.()
from run_clust to CapacityExpansion into the load data process), could you add it there? If it somehow causes trouble to move, let's just keep it as is.Have a look at this one, and after we've merged to dev here, I'll make a PR on CapacityExpansion.jl to adjust.