50-update.class: Update CLASS.spmd Based on the Final Iteration

In snoweye/pmclust: Parallel Model-Based Clustering using Expectation-Gathering-Maximization Algorithm for Finite Mixture Gaussian Model

Update CLASS.spmd Based on the Final Iteration

Description

Update CLASS.spmd based on the final iteration of EM-like algorithms.

Usage

  em.update.class()
  kmeans.update.class()

Details

This function takes Z.spmd from the global environment .pmclustEnv and update CLASS.spmd, and provides the identification of groups for all data.

Value

CLASS.spmd will be updated.

Author(s)

Wei-Chen Chen [e-mail] and George Ostrouchov.

References

Programming with Big Data in R Website: https://pbdr.org/

See Also

em.step, aecm.step, apecm.step,
apecma.step, kmeans.step.

Examples

## Not run: 
# Examples can be found in the help pages of em.step(),
# aecm.step(), apecm.step(), apecma.step(), and kmeans.step().

## End(Not run)

snoweye/pmclust documentation built on Sept. 12, 2023, 5:42 a.m.