mlpy.stats.models.mixture.StudentMM.fit

StudentMM.fit(x, n_init=1)

Fit the mixture model from the data x.

Estimate model parameters with the expectation-maximization algorithm.

Parameters:

x : array_like, shape (n, dim)

List of dim-dimensional data points. Each row corresponds to a single data point.

n_init : int, optional

Number of random restarts to avoid a local minimum. Default is 1.