I have time series with objects and their geo points.
X1 = [(time1, (longitude1, latitude1)), ...] X2 = [(time2, (longitude2, latitude2)), ...] ... XN = [(timeN, (longitudeN, latitudeN)), ...]
This dataset represents moving objects on a plane.
How can I detect anomalies within these dataset?
I know that the majority of objects are moving in 3 or 4 paths (clusters).
What method should I use to detect anomalies?
When some object is trying to move off the the main paths?