Unsupervised Multi-Task and Transfer Learning on Gaussian Mixture Models

Documentation for package ‘mtlgmm’ version 0.1.0

alignment	Align the initializations.
alignment_swap	Complete the alignment of initializations based on the output of function 'alignment_swap'.
data_generation	Generate data for simulations.
estimation_error	Caluclate the estimation error of GMM parameters under the MTL setting (the worst performance among all tasks).
initialize	Initialize the estimators of GMM parameters on each task.
misclustering_error	Calculate the misclustering error given the predicted cluster labels.
mtlgmm	Fit binary Gaussian mixture models (GMMs) on multiple data sets under a multi-task learning (MTL) setting.
predict_gmm	Clustering new observations based on fitted GMM estimators.
tlgmm	Fit the binary Gaussian mixture model (GMM) on target data set by leveraging multiple source data sets under a transfer learning (TL) setting.