Generation of banana shaped classes
A = GENDATB(N,S)
| N|| number of generated samples of vector with number of samples per class|
| S|| variance of the normal distribution (opt, def: s=1)|
| 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.
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