Generate from Three 5-dimensional Subspaces in 200-dimensional space.

gen3S(n = 50, var = 0.3)

Arguments

n	the number of data points sampled from each subspace (default: 50).
var	degree of Gaussian noise (default: 0.3).

Value

a named list containing with :

data: an \((3*n\times 3)\) data matrix.
class: length-\(3*n\) vector for class label.

References

Wang S, Yuan X, Yao T, Yan S, Shen J (2011). “Efficient Subspace Segmentation via Quadratic Programming.” In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI'11, 519--524.

Examples

# \donttest{
## a toy example
tester = gen3S(n=100)
data   = tester$data
label  = tester$class
# }