Generation of a 2D classification problem: Gaussian circle and blob
A = GENDATG(N,S1,S2)
| N|| Dataset size, or 2-element array of class sizes (default: [50 50]).|
| S1|| Standard deviation of the circle, default 0.1 |
| S2|| Standard deviation of the blob, default 0.3.|
Generation of a two-class problem. The first class is a set of uniformly distributed points on the unit circle with a normally distributed Gaussian radial deviation. The second class is a Gaussian distributed 2D spherical dataset in the origin with standard deviation S2.
|This file has been automatically generated. If badly readable, use the help-command in Matlab.|