expect_max.RdWrapper to go between the expectation and maximization steps until the maximum iterations or the convergence of log likelihood
expect_max(pca.components, clusters, parameter.estimates, max.iterations, delta.log.li, temp, num.cores, verbose)
| pca.components | Expects a matrix with n rows as the cells and m columns as the principal components. |
|---|---|
| clusters | Expect the most likely cluster assignments |
| parameter.estimates | Expects a list of parameters (mu, covariance, and weights) from initialize_gmm or maximization_step |
| max.iterations | The maximum number of iterations of the EM |
| delta.log.li | Change in the log likelihood to satisfy convergence |
| temp | Current temperature of the algorithm |
| verbose | Whether to include verbose output |