| PRTools contents |
GENDATB
A = GENDATB(N,S)
| Input | |
| N | number of generated samples of vector with number of samples per class |
| S | variance of the normal distribution (opt, def: s=1) |
| Output | |
| A | generated dataset |
Generation of a 2-dimensional 2-class dataset A of N objects with a
| banana | shaped distribution. The data is uniformly distributed along the |
| bananas | and is superimposed with a normal distribution with standard |
| deviation | S in all directions. Class priors are P(1) = P(2) = 0.5. |
| Defaults: | N = [50,50], S = 1. |
| PRTools contents |