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<table width="100%" summary="page for Update Class of EM or Kmenas Results"><tr><td>Update Class of EM or Kmenas Results</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Update CLASS.spmd Based on the Final Iteration</h2>

<h3>Description</h3>

<p>Update <code>CLASS.spmd</code> based on the final iteration of EM-like
algorithms.
</p>


<h3>Usage</h3>

<pre>
  em.update.class()
  kmeans.update.class()
</pre>


<h3>Details</h3>

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


<h3>Value</h3>

<p><code>CLASS.spmd</code> will be updated.
</p>


<h3>Author(s)</h3>

<p>Wei-Chen Chen <a href="mailto:wccsnow@gmail.com">wccsnow@gmail.com</a> and George Ostrouchov.
</p>


<h3>References</h3>

<p>Programming with Big Data in R Website:
<a href="https://pbdr.org/">https://pbdr.org/</a>
</p>


<h3>See Also</h3>

<p><code>em.step</code>,
<code>aecm.step</code>,
<code>apecm.step</code>, <br />
<code>apecma.step</code>,
<code>kmeans.step</code>. <br />
</p>


<h3>Examples</h3>

<pre>
## 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)
</pre>


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