XOR dataset
Generate "XOR" dataset.
data.xor( n = 100, ndim = 2, sigma = 0.25, levels = NULL, graph = TRUE, seed = NULL )
n |
Number of observations in each cluster. |
ndim |
The number of dimensions (2^ndim clusters are formed, grouped into two classes). |
sigma |
The variance. |
levels |
Name of each class. |
graph |
A logical indicating whether or not a graphic should be plotted. |
seed |
A specified seed for random number generation. |
A randomly generated dataset.
data.xor ()
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