50-mb.print: Print Results of Model-Based Clustering

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

Print Results of Model-Based Clustering

Description

This function will print summarized messages for model-based clustering.

Usage

  mb.print(PARAM, CHECK)

Arguments

PARAM	a set of convergent parameters to be printed.
CHECK	a set of checking parameters to be printed.

Details

This function will provide a quick summary from the PARAM and CHECK typically the output of clusterings when algorithms stop. The COMM.RANK 0 will be used to take care the printing.

Value

Summarized messages will print/cat on screen by default.

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.

Examples

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

## End(Not run)

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