Clustering algorithms exist to assign observational units to relavant groups. A major problem is identifying the ideal number of groups if the true number is not known in advance.
This is the first in a series of blocks where we will create a visualization designed to help a domain expert identify the ideal number of groups for a set of time series observations.
The images above were created in R as part of the data analysis process. We'll use D3 to create an interactive version.