Growing Neural Gas with Targetting (GNG-T)
GNG-T enables to find out the structure of non-stationary distributions.
The labelling of connected components adds more structural information.
Controlling the number of vertices directly with the target raises stabilization issues.
The use of a smallest confident interval analysis improves stability.
The aperture problem
GNG-T adaptability favors the aperture problem.
A blocking of GNG-T graph updates (i.e. a transiant SOM behavior) helps.
Velocity field computation