I have thousands of data points associated with users. So a single user can have 2000-10000 data points. These data points are identified by contiguous numbers (e.g. all numbers from 0 to 2000). Each data point can have 3 states: true, false, unknown.
What could I do to group these data points so that they don't take too much space?
My initial plan is to basically cluster them. Something like:
- unknown: [1-23, 25, 27]
- true: [24, 26]
- false: [28-30]
Where m-n represents number from m to n.