R: Unsupervised Multi-Task and Transfer Learning on Gaussian Mixture Models

# Unsupervised Multi-Task and Transfer Learning on Gaussian Mixture Models

## Documentation for package ‘mtlgmm’ version 0.1.0

- DESCRIPTION file

## Help Pages

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.