expectation_step_zero.RdUses a Euclidean distance metric to determine the distance of each cell from cluster centers, and uses a Gibbs sampler to evaluate the likelihood probability and posterior probability
expectation_step_zero(pca.components, clusters, parameter.estimates, num.cores)
| 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 |
| num.cores | Number of cores used for parallel calculations |