The Complete SPRLIB & ANNLIB
std_mean_dataset
- generate samples according to the mean dataset
SYNOPSIS
| DATASET *std_mean_dataset |
(NClassA, NClassB) |
ARGUMENTS
| int | NClassA | The number of samples for class A. |
| int | NClassB | The number of samples for class B. |
RETURNS
The function returns NULL if an error occured, otherwise it returns
a valid pointer to a DATASET structure.
FUNCTION
This function generates a 2-dimensional dataset with samples distributed
according to the mean dataset. Samples of the mean dataset are drawn
as follows:
Class A : Mean = (0.2, 0.2); Sigma = Diag(0.33^2, 0.33^2)
Class B : Mean = (-0.2, -0.2); Sigma = Diag(0.33^2, 0.33^2)
where Diag is a diagonal matrix.
NOTE
The returned pointer points to a dataset which is a LABELSET and
LEARNSET (see DATASET-flags.
SEE ALSO
random_meanset_a, random_meanset_b
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