hyperspy.learn.mlpca module

hyperspy.learn.mlpca.mlpca(X, varX, p, convlim=1e-10, maxiter=50000, fast=False)

This function performs MLPCA with missing data.

Parameters:

• X (numpy array) – is the mxn matrix of observations.
• stdX (numpy array) – is the mxn matrix of standard deviations associated with X (zeros for missing measurements).
• p (int) – The model dimensionality.

Returns:

• U,S,V (numpy array) – are the pseudo-svd parameters.
• Sobj (numpy array) – is the value of the objective function.
• ErrFlag ({0, 1}) – indicates exit conditions: 0 = nkmal termination 1 = max iterations exceeded.