CLOUDDATA Generates clouds of points for testing algorithms
[p,mu,C] = clouddata(mu,sigma,Q)
mu: Matrix (RxNc) with the clouds centers by columns
sigma: Defines the covariance matrix of each cloud. Can be
either:
'full': Uses random full covariances
scalar number: Uses spherical covs sigma*I
vector (1xNc): Uses spherical covs of
different widths, sigma(k)*I
n-array (R,R,Nc): Assigns a specified cov. matrix
to each cloud
Q: Number of points in each cloud (optional. default=100).
Can be either:
a scalar: with the number of points for all clouds
a vector: (1xNc) with the number of points of each cloud
DESCRIPTION
Generates a data set composed of multivariate gaussian
distributed clouds of data allowing for specification of
spherical or ellipsoidal covariances